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A Low-Latency and Energy-Efficient Neighbor Discovery Algorithm for Wireless Sensor Networks †
Wireless sensor networks have been widely adopted, and neighbor discovery is an essential step to construct the networks. Most existing studies on neighbor discovery are designed on the assumption that either all nodes are fully connected or only two nodes compose the network. However, networks are...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038363/ https://www.ncbi.nlm.nih.gov/pubmed/31991639 http://dx.doi.org/10.3390/s20030657 |
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author | Gu, Zhaoquan Cao, Zhen Tian, Zhihong Wang, Yuexuan Du, Xiaojiang Mohsen, Guizani |
author_facet | Gu, Zhaoquan Cao, Zhen Tian, Zhihong Wang, Yuexuan Du, Xiaojiang Mohsen, Guizani |
author_sort | Gu, Zhaoquan |
collection | PubMed |
description | Wireless sensor networks have been widely adopted, and neighbor discovery is an essential step to construct the networks. Most existing studies on neighbor discovery are designed on the assumption that either all nodes are fully connected or only two nodes compose the network. However, networks are partially connected in reality: some nodes are within radio range of each other, while others are not. Low latency and energy efficiency are two common goals, which become even more challenging to achieve at the same time in partially connected networks. We find that the collision caused by simultaneous transmissions is the main obstruction of achieving the two goals. In this paper, we present an efficient algorithm called Panacea to address these challenges by alleviating collisions. To begin with, we design Panacea-NCD (Panacea no collision detection) for nodes that do not have a collision detection mechanism. When n is large, we show the discovery latency is bounded by [Formula: see text] for any duty cycle (the percentage time to turn on the radio), where each node has n neighbors on average. For nodes that can detect collisions, we then present Panacea-WCD which also bounds the latency within [Formula: see text] slots. Finally, we conduct extensive evaluations and the results also corroborate our analyses. |
format | Online Article Text |
id | pubmed-7038363 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70383632020-03-09 A Low-Latency and Energy-Efficient Neighbor Discovery Algorithm for Wireless Sensor Networks † Gu, Zhaoquan Cao, Zhen Tian, Zhihong Wang, Yuexuan Du, Xiaojiang Mohsen, Guizani Sensors (Basel) Article Wireless sensor networks have been widely adopted, and neighbor discovery is an essential step to construct the networks. Most existing studies on neighbor discovery are designed on the assumption that either all nodes are fully connected or only two nodes compose the network. However, networks are partially connected in reality: some nodes are within radio range of each other, while others are not. Low latency and energy efficiency are two common goals, which become even more challenging to achieve at the same time in partially connected networks. We find that the collision caused by simultaneous transmissions is the main obstruction of achieving the two goals. In this paper, we present an efficient algorithm called Panacea to address these challenges by alleviating collisions. To begin with, we design Panacea-NCD (Panacea no collision detection) for nodes that do not have a collision detection mechanism. When n is large, we show the discovery latency is bounded by [Formula: see text] for any duty cycle (the percentage time to turn on the radio), where each node has n neighbors on average. For nodes that can detect collisions, we then present Panacea-WCD which also bounds the latency within [Formula: see text] slots. Finally, we conduct extensive evaluations and the results also corroborate our analyses. MDPI 2020-01-24 /pmc/articles/PMC7038363/ /pubmed/31991639 http://dx.doi.org/10.3390/s20030657 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gu, Zhaoquan Cao, Zhen Tian, Zhihong Wang, Yuexuan Du, Xiaojiang Mohsen, Guizani A Low-Latency and Energy-Efficient Neighbor Discovery Algorithm for Wireless Sensor Networks † |
title | A Low-Latency and Energy-Efficient Neighbor Discovery Algorithm for Wireless Sensor Networks † |
title_full | A Low-Latency and Energy-Efficient Neighbor Discovery Algorithm for Wireless Sensor Networks † |
title_fullStr | A Low-Latency and Energy-Efficient Neighbor Discovery Algorithm for Wireless Sensor Networks † |
title_full_unstemmed | A Low-Latency and Energy-Efficient Neighbor Discovery Algorithm for Wireless Sensor Networks † |
title_short | A Low-Latency and Energy-Efficient Neighbor Discovery Algorithm for Wireless Sensor Networks † |
title_sort | low-latency and energy-efficient neighbor discovery algorithm for wireless sensor networks † |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038363/ https://www.ncbi.nlm.nih.gov/pubmed/31991639 http://dx.doi.org/10.3390/s20030657 |
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