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Li, Y., Shi, X., Lindgren, A., Hu, Z., Zhang, P., Jin, D. & Zhou, Y. (2018). Context-aware data dissemination for ICN-based vehicular ad hoc networks. Information Science and Technology, 9(11), Article ID 263.
Open this publication in new window or tab >>Context-aware data dissemination for ICN-based vehicular ad hoc networks
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2018 (English)In: Information Science and Technology, ISSN 2078-2489, E-ISSN 2078-2489, Vol. 9, no 11, article id 263Article in journal (Refereed) Published
Abstract [en]

Information-centric networking (ICN) technology matches many major requirements of vehicular ad hoc networks (VANETs) in terms of its connectionless networking paradigm accordant with the dynamic environments of VANETs and is increasingly being applied to VANETs. However, wireless transmissions of packets in VANETs using ICN mechanisms can lead to broadcast storms and channel contention, severely affecting the performance of data dissemination. At the same time, frequent changes of topology due to driving at high speeds and environmental obstacles can also lead to link interruptions when too few vehicles are involved in data forwarding. Hence, balancing the number of forwarding vehicular nodes and the number of copies of packets that are forwarded is essential for improving the performance of data dissemination in information-centric networking for vehicular ad-hoc networks. In this paper, we propose a context-aware packet-forwarding mechanism for ICN-based VANETs. The relative geographical position of vehicles, the density and relative distribution of vehicles, and the priority of content are considered during the packet forwarding. Simulation results show that the proposed mechanism can improve the performance of data dissemination in ICN-based VANET in terms of a successful data delivery ratio, packet loss rate, bandwidth usage, data response time, and traversed hops.

Keywords
Broadcast data suppression, Distance-based forwarding, Information-centric networking (ICN), Vehicular ad-hoc network (VANET), Vehicular density, Information dissemination, Packet networks, Vehicles, Broadcast data, Distance-based, Dynamic environments, Geographical positions, Information centric networkings (ICN), Information-centric networkings, Vehicular Adhoc Networks (VANETs), Wireless transmissions, Vehicular ad hoc networks
National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-36932 (URN)10.3390/info9110263 (DOI)2-s2.0-85056142575 (Scopus ID)
Available from: 2018-12-28 Created: 2018-12-28 Last updated: 2018-12-28Bibliographically approved
Lagerspetz, E., Flores, H., Mäkitalo, N., Hui, P., Nurmi, P., Tarkoma, S., . . . Quersia, D. (2018). Pervasive Communities in the Internet of People. In: : . Paper presented at International Workshop on Context-Awareness for Multi-Device Pervasive and Mobile Computing (in conjunction with IEEE PerCom 2018), Athens, Greece, 2018 (pp. 40-45). , Article ID 8480273.
Open this publication in new window or tab >>Pervasive Communities in the Internet of People
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2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The Internet has traditionally been a device-orientedarchitecture where devices with IP addresses are first-classcitizens, able to serve and consume content or services, and theirowners take part in the interaction only through those devices.The Internet of People (IoP) is a recent paradigm where devicesbecome proxies of their users, and can act on their behalf. Torealize IoP, new policies and rules for how devices can take actionsare required. The role of context information grows as devicesact autonomously based on the environment and existing socialrelationships between their owners. In addition, the social profilesof device owners determine e.g. how altruistic or resourceconservingthey are in collaborative computing scenarios. In thispaper we focus on community formation in IoP, a prerequisitefor enabling collaborative scenarios, and discuss main challengesand propose potential solutions.

National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:ri:diva-34867 (URN)10.1109/PERCOMW.2018.8480273 (DOI)2-s2.0-85056482134 (Scopus ID)
Conference
International Workshop on Context-Awareness for Multi-Device Pervasive and Mobile Computing (in conjunction with IEEE PerCom 2018), Athens, Greece, 2018
Available from: 2018-08-21 Created: 2018-08-21 Last updated: 2019-01-10Bibliographically approved
Li, F., Chen, Y., Xie, R., Ben Abdesslem, F. & Lindgren, A. (2018). Understanding Service Integration of Online Social Networks: A Data-Driven Study. In: 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018: . Paper presented at 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018, 19 March 2018 through 23 March 2018 (pp. 848-853).
Open this publication in new window or tab >>Understanding Service Integration of Online Social Networks: A Data-Driven Study
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2018 (English)In: 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018, 2018, p. 848-853Conference paper, Published paper (Refereed)
Abstract [en]

The cross-site linking function is widely adopted by online social networks (OSNs). This function allows a user to link her account on one OSN to her accounts on other OSNs. Thus, users are able to sign in with the linked accounts, share contents among these accounts and import friends from them. It leads to the service integration of different OSNs. This integration not only provides convenience for users to manage accounts of different OSNs, but also introduces usefulness to OSNs that adopt the cross-site linking function. In this paper, we investigate this usefulness based on users' data collected from a popular OSN called Medium. We conduct a thorough analysis on its social graph, and find that the service integration brought by the crosssite linking function is able to change Medium's social graph structure and attract a large number of new users. However, almost none of the new users would become high PageRank users (PageRank is used to measure a user's influence in an OSN). To solve this problem, we build a machine-learning-based model to predict high PageRank users in Medium based on their Twitter data only. This model achieves a high F1-score of 0.942 and a high area under the curve (AUC) of 0.986. Based on it, we design a system to assist new OSNs to identify and attract high PageRank users from other well-established OSNs through the cross-site linking function.

Keywords
Cross-site Linking, High PageRank Users, Medium, Online Social Networks, prediction, Service Integration, Forecasting, Integral equations, Learning systems, Ubiquitous computing, On-line social networks, PageRank, Social networking (online)
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:ri:diva-37284 (URN)10.1109/PERCOMW.2018.8480137 (DOI)2-s2.0-85056476540 (Scopus ID)9781538632277 (ISBN)
Conference
2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018, 19 March 2018 through 23 March 2018
Note

 Funding details: Natural Science Foundation of Shanghai, 16PJ1400700; Funding details: Natural Science Foundation of Shanghai, 16ZR1402200; Funding details: National Natural Science Foundation of China, NSFC, 71731004; Funding details: National Natural Science Foundation of China, NSFC, 61602122; Funding text 1: This work is sponsored by National Natural Science Foundation of China (No. 61602122, No. 71731004), Natural Science Foundation of Shanghai (No. 16ZR1402200), Shanghai Pujiang Program (No. 16PJ1400700).

Available from: 2019-01-18 Created: 2019-01-18 Last updated: 2019-01-21Bibliographically approved
Lindgren, A., Åkerberg, J. & Björkman, M. (2017). Poster - Feasibility of ICN in automation networks. In: CHANTS 2017 - Proceedings of the 12th Workshop on Challenged Networks, co-located with MobiCom 2017: . Paper presented at 12th Workshop on Challenged Networks, CHANTS 2017, 20 October 2017 (pp. 33-34). Association for Computing Machinery, Inc
Open this publication in new window or tab >>Poster - Feasibility of ICN in automation networks
2017 (English)In: CHANTS 2017 - Proceedings of the 12th Workshop on Challenged Networks, co-located with MobiCom 2017, Association for Computing Machinery, Inc , 2017, p. 33-34Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

In an industrial automation environment, there are many sensors generating large volumes of data. Both time-critical data for realtime control as well as less time-critical data for central monitoring and log data need to co-exist in the system with often harsh wireless environments. Thus, available capacity may be low, causing congestion problems and long latencies for by traffic with less stringent timing requirements. In this paper, we consider the feasibility of using Information Centric Networking in industrial automation networks in order to improve efficiency in distribution of data and reduce latency.

Place, publisher, year, edition, pages
Association for Computing Machinery, Inc, 2017
Keywords
Automation, Traffic congestion, Automation networks, Available capacity, Congestion problem, Industrial automation, Information-centric networkings, Time-critical, Timing requirements, Wireless environment, Monitoring
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:ri:diva-38050 (URN)10.1145/3124087.3124098 (DOI)2-s2.0-85041547383 (Scopus ID)9781450351447 (ISBN)
Conference
12th Workshop on Challenged Networks, CHANTS 2017, 20 October 2017
Available from: 2019-03-19 Created: 2019-03-19 Last updated: 2019-03-20Bibliographically approved
Ahlgren, B., Lindgren, A. & Wu, Y. (2016). Demo: Experimental Feasibility Study of CCN-lite on Contiki Motes for IoT Data Streams. In: Proceedings of the 3rd ACM Conference on Information-Centric Networking: . Paper presented at 3rd ACM Conference on Information-Centric Networking (ACM-ICN 2016), September 26-28, 2016, Kyoto, Japan (pp. 221-222).
Open this publication in new window or tab >>Demo: Experimental Feasibility Study of CCN-lite on Contiki Motes for IoT Data Streams
2016 (English)In: Proceedings of the 3rd ACM Conference on Information-Centric Networking, 2016, p. 221-222Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

Many IoT applications are inherently information-centric, making it advantageous to use ICN transport. We demonstrate CCN-lite ported to run on Contiki sensor motes with limited processing and storage resources. We show a method for mapping streams of sensor data to a stream of immutable CCN named data objects, and an adaptive probing method to find the newest value. We also demonstrate interoperation between MQTT and CCN via a gateway. A higher level goal is to use ICN as an open interface for accessing IoT data.

Keywords
Information-centric networks, Internet-of-Things, sensor networks
National Category
Computer Sciences
Identifiers
urn:nbn:se:ri:diva-30098 (URN)10.1145/2984356.2985232 (DOI)978-1-4503-4467-8 (ISBN)
Conference
3rd ACM Conference on Information-Centric Networking (ACM-ICN 2016), September 26-28, 2016, Kyoto, Japan
Projects
Vinnova
Available from: 2017-07-20 Created: 2017-07-20 Last updated: 2019-06-19Bibliographically approved
Lindgren, A., Zaitov, A. & Siderov Mitkov, B. (2016). Demo: Opportunistic IoT for Monitoring of Grazing Cattle (8ed.). In: Proceedings of the Eleventh ACM Workshop on Challenged Networks: . Paper presented at Eleventh ACM Workshop on Challenged Networks (CHANTS 2016), October 3-7, 2016, New York, US (pp. 31-32).
Open this publication in new window or tab >>Demo: Opportunistic IoT for Monitoring of Grazing Cattle
2016 (English)In: Proceedings of the Eleventh ACM Workshop on Challenged Networks, 2016, 8, p. 31-32Conference paper, Published paper (Refereed)
Abstract [en]

Precision livestock farming and other agricultural applications are considered to have great potential to utilise the many benefits of IoT technology. It is however important to maintain low cost and energy consumption to make it feasible in a very competitive market, making opportunistic and D2D communication interesting options. The demo will show a prototype of a system for monitoring grazing cattle in large free-range areas. We will demonstrate the mobile devices collecting data about the animals and their encounters with each other as well as the cloud platform that allows the farmer to access the data for more efficient operation of the farm.

National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:ri:diva-24568 (URN)10.1145/2979683.2979697 (DOI)978-1-4503-4256-8 (ISBN)
Conference
Eleventh ACM Workshop on Challenged Networks (CHANTS 2016), October 3-7, 2016, New York, US
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2019-06-19Bibliographically approved
Lindgren, A., Ben Abdesslem, F., Ahlgren, B., Schelén, O. & Malik, A. M. (2016). Design Choices for the IoT in Information-Centric Networks (10ed.). In: : 2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC). Paper presented at 13th Annual IEEE Consumer Communications & Networking Conference (CCNC 2016), January 9-12, 2016, Las Vegas, US (pp. 882-888).
Open this publication in new window or tab >>Design Choices for the IoT in Information-Centric Networks
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2016 (English)In: : 2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC), 2016, 10, p. 882-888Conference paper, Published paper (Refereed)
Abstract [en]

This paper outlines the tradeoffs involved in utilizing Information-Centric Networking (ICN) for Internet of Things (IoT) scenarios. It describes contexts and applications where the IoT would benefit from ICN, and where a hostcentric approach would be better. Requirements imposed by the heterogeneous nature of IoT networks are discussed in terms of connectivity, power availability, computational and storage capacity. Design choices are then proposed for an IoT architecture to handle these requirements, while providing efficiency and scalability. An objective is to not require any IoT specific changes of the ICN architecture per se, but we do indicate some potential modifications of ICN that would improve efficiency and scalability for IoT and other applications.

National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:ri:diva-24525 (URN)10.1109/CCNC.2016.7444905 (DOI)
Conference
13th Annual IEEE Consumer Communications & Networking Conference (CCNC 2016), January 9-12, 2016, Las Vegas, US
Projects
GreenIoT
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2019-06-19Bibliographically approved
Rao, A., Schelén, O. & Lindgren, A. (2016). Performance Implications for IoT over Information Centric Networks (7ed.). In: Proceedings of the Eleventh ACM Workshop on Challenged Networks: . Paper presented at Eleventh ACM Workshop on Challenged Networks (CHANTS 2016), October 7, 2016, New York, US (pp. 57-62).
Open this publication in new window or tab >>Performance Implications for IoT over Information Centric Networks
2016 (English)In: Proceedings of the Eleventh ACM Workshop on Challenged Networks, 2016, 7, p. 57-62Conference paper, Published paper (Refereed)
Abstract [en]

Information centric networking (ICN) is a proposal for a future internetworking architecture that is more efficient and scalable. While several ICN architectures have been evaluated for networks carrying web and video traffic, the benefits and challenges it poses for Internet of Things (IoT) networks are relatively unexplored. In our work, we evaluate the performance implications for typical IoT network scenarios in the ICN paradigm. We study the behavior of in-network caching, introduce a way to make caching more efficient for periodic sensor data, and evaluate the impact of presence and location of lossy wireless links in IoT networks. In this paper, we present and discuss the results of our evaluations on IoT networks performed through emulations using a specific ICN architecture, namely, content centric networking (CCN). For example, we show that the newly proposed UTS-LRU cache replacement strategy for improved caching performance of time series content streams reduces the number of messages transmitted by up to 16%. Our findings indicate that the performance of IoT networks using ICN are influenced by the content model and the nature of its links, and motivates further studies to understand the performance implications in more varied IoT scenarios.

National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:ri:diva-24567 (URN)10.1145/2979683.2979686 (DOI)978-1-4503-4256-8 (ISBN)
Conference
Eleventh ACM Workshop on Challenged Networks (CHANTS 2016), October 7, 2016, New York, US
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2019-06-25Bibliographically approved
Zhao, X., Yuanyuan, Q., Zhongwei, S., Jie, Y. & Lindgren, A. (2016). Prediction of user app usage behavior from geo-spatial data (7ed.). In: Proceedings of the Third International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data: . Paper presented at Third International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data (GeoRich’16), June 26 - July 1, 2016, San Francisco, US. , Article ID 7.
Open this publication in new window or tab >>Prediction of user app usage behavior from geo-spatial data
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2016 (English)In: Proceedings of the Third International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data, 2016, 7, article id 7Conference paper, Published paper (Refereed)
Abstract [en]

In the era of mobile Internet, a vast amount of geo-spatial data allows us to gain further insights into human activities, which is critical for Internet Services Providers (ISP) to provide better personalized services. With the pervasiveness of mobile Internet, much evidence show that human mobility has heavy impact on app usage behavior. In this paper, we propose a method based on machine learning to predict users' app usage behavior using several features of human mobility extracted from geo-spatial data in mobile Internet traces. The core idea of our method is selecting a set of mobility attributes (e.g. location, travel pattern, and mobility indicators) that have large impact on app usage behavior and inputting them into a classification model. We evaluate our method using real-world network traffic collected by our self-developed high-speed Traffic Monitoring System (TMS). Our prediction method achieves 90.3% accuracy in our experiment, which verifies the strong correlation between human mobility and app usage behavior. Our experimental results uncover a big potential of geo-spatial data extracted from mobile Internet.

Keywords
app usage behavior, human mobility, geo-spatial data, prediction accuracy, mobile Internet
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:ri:diva-24564 (URN)10.1145/2948649.2948656 (DOI)978-1-4503-4309-1 (ISBN)
Conference
Third International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data (GeoRich’16), June 26 - July 1, 2016, San Francisco, US
Projects
Mobilecloud
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2019-06-25Bibliographically approved
Zhang, Y., Raychadhuri, D., Grieco, L. A., Baccelli, E., Burke, J., Ravindran, R., . . . Schelén, O. (2016). Requirements and Challenges for IoT over ICN: IETF Internet-Draft draft-zhang-icnrg-icniot-requirements-01.
Open this publication in new window or tab >>Requirements and Challenges for IoT over ICN: IETF Internet-Draft draft-zhang-icnrg-icniot-requirements-01
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2016 (English)Other (Other academic)
Abstract [en]

The Internet of Things (IoT) promises to connect billions of objects to the Internet. After deploying many stand-alone IoT systems in different domains, the current trend is to develop a common, "thin waist" of protocols forming a horizontal unified, defragmented IoT platform. Such a platform will make objects accessible to applications across organizations and domains. Towards this goal, quite a few proposals have been made to build a unified host-centric IoT platform as an overlay on top of today's host-centric Internet. However, there is a fundamental mismatch between the host-centric nature of todays Internet and the information-centric nature of the IoT system. To address this mismatch, we propose to build a common set of protocols and services, which form an IoT platform, based on the Information Centric Network (ICN) architecture, which we call ICN-IoT. ICN-IoT leverages the salient features of ICN, and thus provides seamless mobility support, security, scalability, and efficient content and service delivery. This draft describes representative IoT requirements and ICN challenges to realize a unified ICN-IoT framework. Towards this, we first identify a list of important requirements which a unified IoT architecture should have to support tens of billions of objects, then we discuss how the current IP-IoT overlay fails to meet these requirements, followed by discussion on suitability of ICN for IoT. Though we see most of the IoT requirements can be met by ICN, we discuss specific challenges ICN has to address to satisfy them. Then we provide discussion of popular IoT scenarios including the "smart" home, campus, grid, transportation infrastructure, healthcare, Education, and Entertainment for completeness, as specific scenarios requires appropriate design choices and architectural considerations towards developing an ICN-IoT solution.

National Category
Computer Sciences
Identifiers
urn:nbn:se:ri:diva-32958 (URN)
Note

Work in progress.

Available from: 2018-01-02 Created: 2018-01-02 Last updated: 2018-08-23Bibliographically approved
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-3932-4144

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