Improving Sensor Network Performance with Directional Antennas: A Cross-layer OptimizationShow others and affiliations
2021 (English)In: ACM transactions on sensor networks, ISSN 1550-4867, E-ISSN 1550-4859, Vol. 17, no 4, article id 3465219Article in journal (Refereed) Published
Abstract [en]
The use of directional antennas for wireless communications brings several benefits, such as increased communication range and reduced interference. One example of directional antennas are electronically switched directional (ESD) antennas that can easily be integrated into Wireless Sensor Networks (WSNs) due to their small size and low cost. However, current literature questions the benefits of using ESD antennas in WSNs due to the increased likelihood of hidden terminals and increased power consumption. This is mainly because earlier studies have used directionality for transmissions but not for reception. In this article, we introduce novel cross-layer optimizations to fully utilize the benefits of using directional antennas. We modify the Medium Access Control (MAC), routing, and neighbor discovery mechanisms to support directional communication. We focus on convergecast investigating a large number of different network topologies. Our experimental results, both in simulation and with real nodes, show when the traffic is dense, networks with directional antennas can significantly outperform networks with omnidirectional ones in terms of packet delivery rate, energy consumption, and energy per received packet. © 2021 Copyright held by the owner/author(s).
Place, publisher, year, edition, pages
Association for Computing Machinery , 2021. Vol. 17, no 4, article id 3465219
Keywords [en]
convergecast, directive antennas, protocols, wireless communication, Wireless sensor networks, Electrostatic devices, Electrostatic discharge, Energy utilization, Medium access control, Omnidirectional antennas, Communication range, Cross layer optimization, Directional Antenna, Directional communications, Medium access control(MAC), Neighbor discovery, Wireless communications, Wireless sensor network (WSNs)
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:ri:diva-56011DOI: 10.1145/3465219Scopus ID: 2-s2.0-85112568360OAI: oai:DiVA.org:ri-56011DiVA, id: diva2:1588852
Note
Funding details: Agencia Nacional de Investigación e Innovación, ANII, FMV_1_2014_1_104872; Funding text 1: This research was partially supported by ANII Project No. FMV_1_2014_1_104872. Authors’ addresses: J. Schandy, N. Gammarano, and L. Steinfeld, Universidad de la República, Uruguay Julio Herrera y Reissig 565, 11000, Montevideo, Uruguay; emails: {jschandy, ngammarano, leo}@fing.edu.uy; S. Olofsson, Imperial College London, United Kingdom Dept of Computing, Imperial College London, SW7 2AZ, London, UK; email: simon. olofsson15@alumni.imperial.ac.uk; T. Voigt, Uppsala University and RISE, Sweden Box 337, 751 05, Uppsala, Sweden; email: thiemo@sics.se. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. © 2021 Copyright held by the owner/author(s). Publication rights licensed to ACM. 1550-4859/2021/08-ART48 $15.00 https://doi.org/10.1145/3465219
2021-08-302021-08-302023-06-08Bibliographically approved