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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...

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Detalles Bibliográficos
Autores principales: Gu, Zhaoquan, Cao, Zhen, Tian, Zhihong, Wang, Yuexuan, Du, Xiaojiang, Mohsen, Guizani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
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
Descripción
Sumario: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.