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Less is More: Learning more with concurrent transmissions for energy-efficient flooding
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. (Social Robotics)ORCID iD: 0000-0003-3324-4418
2017 (English)In: Proc. 14th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, New York: ACM Press, 2017, p. 323-332Conference paper, Published paper (Refereed)
Abstract [en]

Concurrent transmissions, a novel communication paradigm, has been shown to effectively accomplish a reliable and energy-efficient flooding in wireless networks. With multiple nodes exploiting a receive-and-forward scheme in the network, this technique inevitably introduces communication redundancy and consequently raises the energy consumption of the nodes. In this paper, we propose LiM, an energy-efficient flooding protocol for wireless sensor networks. LiM builds on concurrent transmissions, exploiting constructive interference and the capture effect to achieve high reliability and low latency. Moreover, LiM equips itself with a machine learning capability to progressively reduce redundancy while maintaining high reliability. As a result, LiM is able to significantly reduce the radio-on time and therefore the energy consumption. We compare LiM with our baseline protocol Glossy by extensive experiments in the 30-node testbed FlockLab. Experimental results show that LiM highly reduces the broadcast redundancy in flooding. It outperforms the baseline protocol in terms of radio-on time, while attaining a high reliability of over 99.50%, and an average end-to-end latency around 2 ms in all experimental scenarios.

Place, publisher, year, edition, pages
New York: ACM Press, 2017. p. 323-332
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:uu:diva-335332DOI: 10.1145/3144457.3144482ISI: 000653077500034ISBN: 978-1-4503-5368-7 (print)OAI: oai:DiVA.org:uu-335332DiVA, id: diva2:1162422
Conference
MobiQuitous 2017, November 7–10, Melbourne, Australia
Funder
German Research Foundation (DFG)Available from: 2017-12-04 Created: 2017-12-04 Last updated: 2024-01-18Bibliographically approved

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Gao, Alex Yuan

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CiteExportLink to record
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Citation style
  • apa
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Output format
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