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  • 1.
    Afanasov, Mikhail
    et al.
    Politecnico di Milano, Italy.
    Iavorskii, Aleksandr
    John Wiley & Sons Inc, Russia.
    Mottola, Luca
    RISE - Research Institutes of Sweden, ICT, SICS. Politecnico di Milano, Italy.
    Programming Support for Time-sensitive Adaptation in Cyberphysical Systems2018Ingår i: ACM SIGBED Review, Vol. 14, nr 4, s. 27-32Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Cyberphysical systems (CPS) integrate embedded sensors,actuators, and computing elements for controlling physicalprocesses. Due to the intimate interactions with thesurrounding environment, CPS software must continuouslyadapt to changing conditions. Enacting adaptation decisionsis often subject to strict time requirements to ensure controlstability, while CPS software must operate within the tightresource constraints that characterize CPS platforms. Developersare typically left without dedicated programmingsupport to cope with these aspects. This results in either toneglect functional or timing issues that may potentially ariseor to invest significant efforts to implement hand-crafted solutions.We provide programming constructs that allow developersto simplify the specification of adaptive processingand to rely on well-defined time semantics. Our evaluationshows that using these constructs simplifies implementationswhile reducing developers’ effort, at the price of a modestmemory and processing overhead.

  • 2.
    Afanasov, Mikhail
    et al.
    Politecnico di Milano, Italy.
    Mottola, Luca
    RISE - Research Institutes of Sweden, ICT, SICS. Politecnico di Milano, Italy.
    Ghezzi, Carlo
    Politecnico di Milano, Italy.
    Software Adaptation in Wireless Sensor Networks2018Ingår i: ACM Transactions on Autonomous and Adaptive Systems, Vol. 12, nr 4, s. 1-29Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    We present design concepts, programming constructs, and automatic verification techniques to support thedevelopment of adaptive Wireless Sensor Network (WSN) software. WSNs operate at the interface betweenthe physical world and the computing machine, and are hence exposed to unpredictable environment dynamics.WSN software must adapt to these dynamics to maintain dependable and efficient operation. Whilesignificant literature exists on the necessary adaptation logic, developers are left without proper support inmaterializing such a logic in a running system. Our work fills this gap with three key contributions: i) designconcepts help developers organize the necessary adaptive functionality and understand their relations,ii) dedicated programming constructs simplify the implementations, iii) custom verification techniques allowdevelopers to check the correctness of their design before deployment. We implement dedicated toolsupport to tie the three contributions, facilitating their practical application. Our evaluation considers representativeWSN applications to analyze code metrics, synthetic simulations, and cycle-accurate emulationof popular WSN platforms. The results indicate that our work is effective in simplifying the developmentof adaptive WSN software; for example, implementations are provably easier to test and to maintain, therun-time overhead of our dedicated programming construct is negligible, and our verification techniquesreturn results in a matter of seconds.

  • 3.
    Azzarà, Andrea
    et al.
    Sant'Anna School of Advanced Studies, Italy.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory. Polytechnic University of Milan, Italy.
    Virtual Resources for the Internet of Things2015Ingår i: 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), 2015, 12, s. 245-250, artikel-id 7389060Konferensbidrag (Refereegranskat)
    Abstract [en]

    We present Virtual Resources: a software architecture to resolve the tension between effective development and efficient operation of Internet of Things (IoT) applications. Emerging IoT architectures exhibit recurring traits: resource-limited sensors and actuators with RESTful interfaces at one end; full-fledged Cloud-hosted applications at the opposite end. The application logic resides entirely at the latter, creating performance issues such as excessive energy consumption and high latencies. To ameliorate these, Virtual Resources allows developers to push a slice of the application logic to intermediate IoT devices, creating a continuum between physical resources and Cloud-hosted applications. With Virtual Resources, for example, developers can push processing of sensed data to IoT devices close to the physical sensors, reducing the data to transmit and thus saving energy. We describe the key concepts of Virtual Resources and their realization in a CoAP prototype atop resource-constrained devices. Experimental results from cycle-accurate emulation indicate that Virtual Resources enable better performance than Cloud-centric architectures, while retaining the RESTful interaction pattern. For example, energy consumption in representative scenarios improves up to 40% and control loop latencies reduce up to 60%.

  • 4. Baccour, Nouha
    et al.
    Koubaa, Anis
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Zuniga, Marco
    Habib, Youssef
    Boano, Carlo Alberto
    Alves, Mario
    Radio Link Quality Estimation in Wireless Sensor Networks: a Survey2012Ingår i: ACM Transactions on Sensor NetworksArtikel i tidskrift (Refereegranskat)
  • 5. Baccour, Nouha
    et al.
    Koubaa, Anis
    Noda, Claro
    Fotouhi, Hossein
    Alves, Mario
    Youssef, Hossein
    Zuniga, Marco
    Boano, Carlo Alberto
    Römer, Kay
    Puccinelli, Daniele
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Radio Link Quality Estimation in Low-Power Wireless Networks2013 (uppl. 12)Bok (Refereegranskat)
  • 6. Baresi, Luciano
    et al.
    Ghezzi, Carlo
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Loupe: Verifying Publish-Subscribe Architectures with a Magnifying Lens2011Ingår i: IEEE Transactions on Software EngineeringArtikel i tidskrift (Refereegranskat)
  • 7.
    Baresi, Luciano
    et al.
    Polytechnic University of Milan, Italy.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory. Polytechnic University of Milan, Italy.
    Dustdar, Schahram
    Vienna University of Technology, Austria.
    Building Software for the Internet of Things2015Ingår i: IEEE Internet Computing, ISSN 1089-7801, E-ISSN 1941-0131, Vol. 19, nr 2, s. 6-8Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The guest editors present a special issue on building software for the Internet of Things (IoT).

  • 8. Boano, Carlo Alberto
    et al.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE., Swedish ICT, SICS.
    Österlind, Fredrik
    RISE., Swedish ICT, SICS.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Suarez, Pablo
    Poster Abstract: Exploiting the LQI Variance for Rapid Channel Quality Assessment2009Konferensbidrag (Refereegranskat)
  • 9. Boano, Carlo Alberto
    et al.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Römer, Kay
    Zuniga, Marco
    Making Sensornet MAC Protocols Robust Against Interference2010Konferensbidrag (Refereegranskat)
    Abstract [en]

    Radio interference may lead to packet losses, thus negatively affecting the performance of sensornet applications. In this paper, we experimentally assess the impact of external interference on state-of-the-art sensornet MAC protocols. Our experiments illustrate that specific features of existing protocols, e.g., hand-shaking schemes preceding the actual data transmission, play a critical role in this setting. We leverage these results by identifying mechanisms to improve the robustness of existing MAC protocols under interference. These mechanisms include the use of multiple hand-shaking attempts coupled with packet trains and suitable congestion backoff schemes to better tolerate interference. We embed these mechanisms within an existing X-MAC implementation and show that they considerably improve the packet delivery rate while keeping the power consumption at a moderate level.

  • 10. Casati, Fabio
    et al.
    Daniel, Florian
    Dantchev, Guenadi
    Eriksson, Joakim
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Karnouskos, Stamatis
    Moreno Montero, Patricio
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Oppermann, Felix
    Picco, Gian Pietro
    Quartulli, Antonio
    Römer, Kay
    Spiess, Patrik
    Tranquillini, Stefano
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Demo Abstract: From Business Process Specifications to Sensor Network Deployments2012Konferensbidrag (Refereegranskat)
  • 11. Casati, Fabio
    et al.
    Daniel, Florian
    Dantchev, Guenadi
    Eriksson, Joakim
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Karnouskos, Stamatis
    Moreno Montero, Patricio
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Oppermann, Felix
    Picco, Gian Pietro
    Quartulli, Antonio
    Römer, Kay
    Spiess, Patrik
    Tranquillini, Stefano
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Towards Business Processes Orchestrating the Physical Enterprise with Wireless Sensor Networks2012Konferensbidrag (Refereegranskat)
  • 12. Ceriotti, M.
    et al.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Picco, G. P.
    Murphy, A. L.
    Guna, S.
    Corrà, M.
    Pozzi, M.
    Zonta, D.
    Zanon, P.
    Monitoring Heritage Buildings with Wireless Sensor Networks: The Torre Aquila Deployment2009Ingår i: Proc. of the 8th Int. Conf. on Information Processing in Sensor Networks (IPSN), 2009, 8Konferensbidrag (Refereegranskat)
  • 13. Ceriotti, Matteo
    et al.
    Corrà, M.
    D'Orazio, Leandro
    Doriguzzi, Roberto
    Facchin, Daniele
    Guna, Stefan
    Jesi, Gianpaolo
    Lo Cigno, Renato
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Murphy, Amy
    Pescalli, Massimo
    Picco, Gian Pietro
    Pregnolato, Denis
    Torghele, Carloalberto
    Is There Light at the Ends of the Tunnel? Wireless Sensor Networks for Adaptive Lighting in Road Tunnels2011Konferensbidrag (Refereegranskat)
  • 14. Costa, Paolo
    et al.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Tuple space middleware for wireless networks2009Ingår i: Middleware for Network Eccentric and Mobile Applications, Springer Press , 2009, 1, , s. 20Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    This chapter addresses tuple spaces, a programming abstraction for data sharing and coordination among distributed processes. The shared memory is called a tuple space, a multiset of elementary data structures. Each tuple is a sequence of typed fields and coordination among processes occurs through the writing and reading of tuples. Originally introduced in the context of parallel computing, it has recently enjoyed wide popularity to develop wireless applications. This chapter concisely describes some of the most representative systems implementing this abstraction and analyzes them along some fundamental dimensions of comparison.

  • 15. Daniel, Florian
    et al.
    Eriksson, Joakim
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Fuchs, Harald
    Gaglione, Andrea
    Karnouskos, Stamatis
    Moreno Montero, Patricio
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Oertel, Nina
    Oppermann, Felix
    Picco, Gian Pietro
    Römer, Kay
    Spiess, Patrik
    Tranquillini, Stefano
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    makeSense: Real-world Business Processes through Wireless Sensor Networks2013Konferensbidrag (Refereegranskat)
  • 16.
    Dunkels, Adam
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Österlind, Fredrik
    RISE., Swedish ICT, SICS.
    Eriksson, Joakim
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    The Announcement Layer: Beacon Coordination for the Sensornet Stack2011Konferensbidrag (Refereegranskat)
  • 17. Ferrari, Federico
    et al.
    Zimmerling, Marco
    Thiele, Lothar
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    The Bus Goes Wireless: Routing-Free Data Collection with QoS Guarantees in Sensor Networks2012Konferensbidrag (Refereegranskat)
  • 18.
    Izzo, Federico Amedeo
    et al.
    Politecnico di Milano, Italy.
    Aspesi, Lorenzo
    Politecnico di Milano, Italy.
    Bellini, Alberto
    Politecnico di Milano, Italy.
    Pacchiarotti, Chiara
    Politecnico di Milano, Italy.
    Caimi, Federico
    Politecnico di Milano, Italy.
    Persano, Gianluigi
    Politecnico di Milano, Italy.
    Izzo, Niccolo
    Politecnico di Milano, Italy.
    Tordini, Pietro
    Politecnico di Milano, Italy.
    Mottola, Luca
    RISE - Research Institutes of Sweden, ICT, SICS. Politecnico di Milano, Italy.
    Bianchini, Massimo
    Politecnico di Milano, Italy.
    Maffei, Stefano
    Politecnico di Milano, Italy.
    Demo abstract: 64Key - A mesh-based collaborative plaform2018Ingår i: SenSys 2018 - Proceedings of the 16th Conference on Embedded Networked Sensor Systems, Association for Computing Machinery, Inc , 2018, s. 422-423Konferensbidrag (Refereegranskat)
    Abstract [en]

    We present 64Key, a hardware/software platform that enables impromptu sensing, data sharing, collaborative working, and social networking among physically co-located users independently of their own hardware platform, operating system, network stack, and of the availability of Internet access. 64Key caters to those scenarios such as computer labs, large conferences, and emergency situations where the network infrastructure is limited in operation or simply not available, and peer-to-peer interactions are prevented or not possible. By plugging a 64Key device in one’s mobile device USB port, an independent network is created on the fly, which users access from their own device though a web-based interface. In addition to default apps such as chat, file sharing, and collaborative text editing, 64Key’s functionality may be extended through the run-time installation of third-party apps, available at a public app store. We demonstrate our proof-of-concept implementation of 64Key with multiple apps in a set of key scenarios.

  • 19. Jhumka, Arshad
    et al.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    On Consistent Neighborhood Views in Wireless Sensor Networks2009Konferensbidrag (Refereegranskat)
  • 20. Marron, Pedro
    et al.
    Voigt, ThiemoRISE., Swedish ICT, SICS, Computer Systems Laboratory.Corke, PeterMottola, LucaRISE., Swedish ICT, SICS, Computer Systems Laboratory.
    4th International Workshop on Real-World Wireless Sensor Networks2010Samlingsverk (redaktörskap) (Refereegranskat)
  • 21.
    Michel, Mathieu
    et al.
    University of Mons, Belgium.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory. Uppsala University, Sweden.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory. Polytechnic University of Milan, Italy.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Quoitin, Bruno
    University of Mons, Belgium.
    Predictable MAC-level Performance in Low-power Wireless under Interference2016Ingår i: Proceedings of the 2016 International Conference on Embedded Wireless Systems and Networks, 2016, 9, s. 13-22Konferensbidrag (Refereegranskat)
    Abstract [en]

    Predictable performance is key for many WSN applications. Recent efforts use models of the environment, the employed hardware, and protocols to predict network performance. Towards this end, we present an intentionally simple model of ContikiMAC, Contiki’s default MAC layer, targeting worst-case bounds for packet delivery rate and latency. Our experiments reveal problems in the performance of ContikiMAC, which make the protocol perform much worse than predicted, and hence prohibit predictable performance with the current ContikiMAC implementation. We show that the reason for this performance degradation is that ContikiMAC loses phase-lock. To solve this problem, we add fine-grained timing information into the acknowledgment packets. We show that this mechanism solves these problems and enables predictable performance with ContikiMAC even under high external interference.

  • 22.
    Misra, Prasant
    et al.
    RISE., Swedish ICT, SICS.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Raza, Shahid
    RISE., Swedish ICT, SICS, Security Lab.
    Duquennoy, Simon
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Höglund, Joel
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Supporting Cyber-Physical Systems with Wireless Sensor Networks: An Outlook of Software and Services2013Ingår i: Journal of the Indian Institute of Science, ISSN 0970-4140, Vol. 93, s. 441-462Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Sensing, communication, computation and control technologies are the essential building blocks of a cyber-physical system (CPS). Wireless sensor networks (WSNs) are a way to support CPS as they provide fine-grained spatial-temporal sensing, communication and computation at a low premium of cost and power. In this article, we explore the fundamental concepts guiding the design and implementation of WSNs. We report the latest developments in WSN software and services for meeting existing requirements and newer demands; particularly in the areas of: operating system, simulator and emulator, programming abstraction, virtualization, IP-based communication and security, time and location, and network monitoring and management. We also reflect on the ongoing efforts in providing dependable assurances for WSN-driven CPS. Finally, we report on its applicability with a case-study on smart buildings.

  • 23.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Programming Storage-centric Sensor Networks with Squirrel2010Konferensbidrag (Refereegranskat)
  • 24.
    Mottola, Luca
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Picco, Gian Pietro
    Middleware for Wireless Sensor Networks: An Outlook2012Ingår i: International Journal of Internet Services and Applications, Vol. 3, s. 31-39Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    In modern distributed computing, applications are rarely built directly atop operating system facilities, e.g., sockets. Higher-level middleware abstractions and systems are often employed to simplify the programmer’s chore or to achieve interoperability. In contrast, real-world wireless sensor network (WSN) applications are almost always developed by relying directly on the operating system. Why is this the case? Does it make sense to include a middleware layer in the design of WSNs? And, if so, is it the same kind of software system as in traditional distributed computing? What are the fundamental concepts, reasonable assumptions, and key criteria guiding its design? What are the main open research challenges, and the potential pitfalls? Most importantly, is it worth pursuing research in this field? This paper provides a (biased) answer to these and other research questions, preceded by a brief account on the state of the art in the field.

  • 25.
    Mottola, Luca
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Picco, Gian Pietro
    MUSTER: Adaptive Energy-Aware Multi-Sink Routing in Wireless Sensor Networks2011Ingår i: IEEE Transactions on Mobile ComputingArtikel i tidskrift (Refereegranskat)
  • 26.
    Mottola, Luca
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Picco, Gian Pietro
    Programming Wireless Sensor Networks: Fundamental Concepts and State of the Art2011Ingår i: ACM Computing SurveysArtikel i tidskrift (Refereegranskat)
  • 27.
    Mottola, Luca
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Picco, Gian Pietro
    Ceriotti, Matteo
    Guna, Stefan
    Murphy, Amy
    Not All Wireless Sensor Networks Are Created Equal: A Comparative Study On Tunnels2010Ingår i: ACM Transactions on Sensor NetworksArtikel i tidskrift (Refereegranskat)
  • 28.
    Mottola, Luca
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    From Smart Dust to Wireless Sensor Networks2010Ingår i: Wireless Sensor Networks: Deployments and Design Frameworks, Springer , 2010, 11Kapitel i bok, del av antologi (Refereegranskat)
  • 29.
    Mottola, Luca
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Gonzales Silva, Ignacio
    Karoumi, Raid
    From Your Desk to the Field: Recent Trends in Deploying Wireless Sensor Networks for Monitoring Civil Structures2011Konferensbidrag (Refereegranskat)
  • 30.
    Mottola, Luca
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Picco, Gian Pietro
    Electronically-switched Directional Antennas for Wireless Sensor Networks: A Full-stack Evaluation2013Konferensbidrag (Refereegranskat)
  • 31.
    Mottola, Luca
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Picco, Gian Pietro
    Quartulli, Antonio
    Österlind, Fredrik
    RISE., Swedish ICT, SICS.
    Electronically-switched Directional Antennas for Low-power Wireless Networks: A Prototype-driven Evaluation2012Rapport (Övrigt vetenskapligt)
    Abstract [en]

    We study the benefits of electronically-switched directional antennas in low-power wireless networks. This antenna technology may improve energy efficiency by increasing the communication range and by alleviating contention in directions other than the destination, but in principle requires a dedicated network stack. Unlike most existing works, we start by characterizing a real-world antenna prototype, and apply this to an existing low-power wireless stack, which we adapt with minimal changes. Our results show that: i) the combination of a low-cost directional antenna and a conventional network stack already brings significant performance improvements, e.g., nearly halving the radio-on time per delivered packet; ii) the margin of improvement available to alternative clean-slate protocol designs is similarly large and concentrated in the control rather than the data plane; iii) by artificially modifying our antenna's link-layer model, we can point at further potential benefits opened by different antenna designs.

  • 32.
    Mottola, Luca
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Österlind, Fredrik
    RISE., Swedish ICT, SICS.
    Eriksson, Joakim
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Baresi, Luciano
    Ghezzi, Carlo
    Anquiro: Enabling Efficient Static Verification of Sensor Network Software2010Konferensbidrag (Refereegranskat)
  • 33.
    Mottola, Luca
    et al.
    RISE - Research Institutes of Sweden, ICT, SICS. Politecnico di Milano, Italy.
    Whitehouse, Kamin
    University of Virginia, USA.
    Fundamental concepts of reactive control for autonomous drones2018Ingår i: Communications of the ACM, ISSN 0001-0782, E-ISSN 1557-7317, Vol. 61, nr 10, s. 96-104Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Autonomous drones represent a new breed of mobile computing system. Compared to smartphones and connected cars that only opportunistically sense or communicate, drones allow motion control to become part of the application logic. The efficiency of their movements is largely dictated by the low-level control enabling their autonomous operation based on high-level inputs. Existing implementations of such low-level control operate in a timetriggered fashion. In contrast, we conceive a notion of reactive control that allows drones to execute the low-level control logic only upon recognizing the need to, based on the influence of the environment onto the drone operation. As a result, reactive control can dynamically adapt the control rate. This brings fundamental benefits, including more accurate motion control, extended lifetime, and better quality of service in end-user applications. Based on 260+ hours of real-world experiments using three aerial drones, three different control logic, and three hardware platforms, we demonstrate, for example, up to 41% improvements in motion accuracy and up to 22% improvements in flight time.

  • 34. Pasztor, Bence
    et al.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Mascolo, Cecilia
    Picco, G. P.
    Elwood, Stephen
    Macdonald, David
    Selective Reprogramming of Mobile Sensor Networks through Social Community Detection2010Konferensbidrag (Refereegranskat)
  • 35. Samarasinghe, Kasun
    et al.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Roedig, Utz
    Poster Abstract: Network Coding with Limited Overhearing2011Konferensbidrag (Refereegranskat)
  • 36. Silase Geletu, Biruk
    et al.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Österlind, Fredrik
    RISE., Swedish ICT, SICS.
    Poster Abstract: Modeling an Electronically Switchable Directional Antenna for Low-power Wireless Networks2011Konferensbidrag (Refereegranskat)
  • 37.
    Stefanizzi, Maria Laura
    et al.
    University of Salento, Italy.
    Mottola, Luca
    RISE - Research Institutes of Sweden, ICT, SICS. Politecnico di Milano, Italy.
    Mainetti, Luca
    University of Salento, Italy.
    Patrono, Luigi
    University of Salento, Italy.
    COIN: Opening the internet of things to people's mobile devices2017Ingår i: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 55, nr 2, s. 20-26, artikel-id A1Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    People's interaction with IoT devices such as proximity beacons, body-worn sensors, and controllable light bulbs is often mediated through personal mobile devices. Current approaches usually make applications operate in separate silos, as the functionality of IoT devices is fixed by vendors and typically accessed only through low-level proprietary APIs. This limits the flexibility in designing applications and requires intense wireless interactions, which may impact energy consumption. COIN is a system architecture that breaks this separation by allowing developers to flexibly run a slice of a mobile app's logic onto IoT devices. Mobile apps can dynamically deploy arbitrary tasks implemented as loosely coupled components. The underlying runtime support takes care of the coordination across tasks and of their real-time scheduling. Our prototype indicates that COIN both enables increased flexibility and improves energy efficiency at the IoT device, compared to traditional architectures.

  • 38. Tranquillini, Stefano
    et al.
    Spiess, Patrik
    Daniel, Florian
    Karnouskos, Stamatis
    Casati, Fabio
    Oertel, Nina
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Oppermann, Felix
    Picco, Gian Pietro
    Römer, Kay
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Process-Based Design and Integration of Wireless Sensor Network Applications2012Konferensbidrag (Refereegranskat)
  • 39.
    Varshney, Ambu
    et al.
    Uppsala university, Sweden.
    Soleiman, Andreas
    Uppsala university, Sweden.
    Mottola, Luca
    RISE - Research Institutes of Sweden, ICT, SICS. Politecnico di Milano, Italy.
    Voigt, Thiemo
    RISE - Research Institutes of Sweden, ICT, SICS. Uppsala university, Sweden.
    Battery-free VisibleLight Sensing2017Ingår i: Proceeding VLCS '17 Proceedings of the 4th ACM Workshop on Visible Light Communication Systems. Snowbird, Utah, USA — October 16 - 16, 2017, 2017, s. 3-8Konferensbidrag (Refereegranskat)
    Abstract [en]

    We present the design of the first Visible Light Sensing (VLS) system that consumes only tens of μWs of power to sense and communicate. Unlike most existing VLS systems, we require no modification to the existing light infrastructure since we use unmodulated light as a sensing medium. We achieve this by designing a novel mechanism that uses solar cells to achieve a sub-μW power consumption for sensing. Further, we devise an ultra-low power transmission mechanism that backscatters sensor readings and avoids the processing and computational overhead of existing sensor systems. Our initial results show the ability to detect and transmit hand gestures or presence of people up to distances of 330m at a peak power of μWs. Further, we demonstrate that our system can operate in diverse light conditions (100 lx to 80 klx) where existing VLS designs fail due to saturation of the transimpedance amplifier (TIA).

  • 40.
    Varshney, Ambuj
    et al.
    Uppsala University, Sweden.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory. Polytechnic University of Milan, Italy.
    Carlsson, Mats
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory. Uppsala University, Sweden.
    Directional Transmissions and Receptions for High-throughput Bulk Forwarding in Wireless Sensor Networks2015Ingår i: Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems (SenSys '15), 2015, 8, s. 351-364Konferensbidrag (Refereegranskat)
    Abstract [en]

    We present DPT: a wireless sensor network protocol for bulk traffic that uniquely leverages electronically switchable directional (ESD) antennas. Bulk traffic is found in several scenarios and supporting protocols based on standard antenna technology abound. ESD antennas may improve performance in these scenarios; for example, by reducing channel contention as the antenna can steer the radiated energy only towards the intended receivers, and by extending the communication range at no additional energy cost. The corresponding protocol support, however, is largely missing. DPT addresses precisely this issue. First, while the network is quiescent, we collect link metrics across all possible antenna configurations. We use this information to formulate a constraint satisfaction problem (CSP) that allows us to find two multi-hop disjoint paths connecting source and sink, along with the corresponding antenna configurations. Domain-specific heuristics we conceive ameliorate the processing demands in solving the CSP, improving scalability. Second, the routing configuration we obtain is injected back into the network. During the actual bulk transfer, the source funnels data through the two paths by quickly alternating between them. Packet forwarding occurs deterministically at every hop. This allows the source to implicitly "clock" the entire pipeline, sparing the need of proactively synchronizing the transmissions across the two paths. Our results, obtained in a real testbed using 802.15.4-compliant radios and custom ESD antennas we built, indicate that DPT approaches the maximum throughput supported by the link layer, peaking at 21 4 kbit/s in the settings we test.

  • 41.
    Varshney, Ambuj
    et al.
    Uppsala University, Sweden.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory. Polytechnic University of Milan, Italy.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory. Uppsala University, Sweden.
    Poster: Coordination of Wireless Sensor Networks using Visible Light2015Ingår i: Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems (SenSys '15), 2015, 7, s. 421-422Konferensbidrag (Refereegranskat)
    Abstract [en]

    Wireless sensor networks are often deployed indoors where artificial lighting is present. Indoor lighting is increasingly being composed of Light Emitting Diodes (LEDs) that offer the ability to precisely control the intensity and the frequency of the light carrier. This can be used to coordinate wireless sensor networks (WSN). The periodic variations in the light intensity can synchronise the clocks on the sensor nodes, while the ability to modulate the light carrier enables the transmission of control information like channel assignment or transmission schedules. We present Guidelight, a simple mechanism that uses controlled fluctuations in the light intensity to coordinate sensor nodes. Guidelight can wake-up or time synchronise sensor nodes or even send small bits of control information to them. All of these have separate dedicated solutions in WSN. Guidelight aims to provide a single solution to all these problems. Our initial experiments demonstrate the ability of Guidelight to trigger sensor nodes. We demonstrate Guidelight is able to trigger sensor nodes selectively at a mean error of 21 µs.

  • 42.
    Varshney, Ambuj
    et al.
    Uppsala University, Sweden.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Poster Abstract: Directional Transmissions and Receptions for Burst Forwarding using Disjoint Paths2014Konferensbidrag (Refereegranskat)
    Abstract [en]

    Bulk data transmission is an important traffic pattern of many sensor network applications. These applications deliver large amounts of sensed data to a sink node for further processing. Most of the existing bulk data transmission protocols use a single flow of communication. This is inefficient as the radio at the source node is transmitting and the sink node is receiving packets for only half of the duration of the burst. We show in this paper that reduced contention because of directional communication enables us to construct node disjoint paths from the source to the sink node using only one wireless channel. This allows us to forward subsequent packets in the burst on the disjoint paths which maximises the radio transmit and receive time at the source and the sink node respectively. We demonstrate that this doubles the sink throughput as compared to a single flow of communication.

  • 43. Varshney, Ambuj
    et al.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Poster Abstract: Directional Transmissions and Receptions for High Throughput Burst Forwarding2013Konferensbidrag (Refereegranskat)
  • 44. Varshney, Ambuj
    et al.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Using Directional Transmissions and Receptions to Reduce Contention in Wireless Sensor Networks2013Konferensbidrag (Refereegranskat)
  • 45.
    Voigt, Thiemo
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Hewage, Kasun
    Understanding Link Dynamics in Wireless Sensor Networks with Dynamically Steerable Directional Antennas2013Konferensbidrag (Refereegranskat)
  • 46. Wu, Huayong
    et al.
    Zonta, D.
    Pozzi, M.
    Zanon, P.
    Ceriotti, M.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Picco, G. P.
    Guna, S.
    Murphy, A. L.
    Corrà, M.
    Wireless Sensors for Permanent Monitoring of Heritage Buildings2010Konferensbidrag (Refereegranskat)
  • 47. Zimmerling, Marco
    et al.
    Ferrari, Federico
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Thiele, Lothar
    pTunes: Runtime Parameter Adaptation for Low-power MAC Protocols2012Konferensbidrag (Refereegranskat)
  • 48. Zonta, D.
    et al.
    Pozzi, M.
    Wu, Huayong
    Zanon, P.
    Ceriotti, M.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Picco, G. P.
    Murphy, A. L.
    Guna, S.
    Real-Time Health Monitoring of Historic Buildings with Wireless Sensor Networks2009Konferensbidrag (Refereegranskat)
  • 49.
    Österlind, Fredrik
    et al.
    RISE., Swedish ICT, SICS.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE., Swedish ICT, SICS.
    Strawman: Resolving Collisions in Bursty Low-Power Wireless Networks2012Konferensbidrag (Refereegranskat)
  • 50. Öström, Erik
    et al.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Nilsson, Martin
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Demo Abstract: Smart Antennas Made Practical: The SPIDA Way2010Konferensbidrag (Refereegranskat)
12 1 - 50 av 51
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