Pharos: A Rapid Neighbor Discovery Algorithm for Power-Restricted Wireless Sensor Networks

Zhu, Yuchen; Yang, Bo; Liu, Min; Li, Zhongcheng

doi:10.1109/sahcn.2019.8824821

Cited by 3 publications

(1 citation statement)

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“…The main drawback of their approach is the overhead created due to control messages as density increases, the network gets jammed. The authors in [16] propose multiple frequency media access control for wireless sensor networks (MMSN). The authors argue that their protocol is the first multi-channel using four frequencies.…”

Section: Related Workmentioning

confidence: 99%

An Artificial Intelligence-Based Quorum System for the Improvement of the Lifespan of Sensor Networks

et al. 2021

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Artificial I ntelligence-based Q uorum s ystems a re used to solve the energy crisis in real-time wireless sensor networks. They tend to improve the coverage, connectivity, latency, and lifespan of the networks where millions of sensor nodes need to be deployed in a smart grid system. The reality is that sensors may consume more power and reduce the lifetime of the network. This paper proposes a quorum-based grid system where the number of sensors in the quorum is increased without actually increasing quorums themselves, leading to improvements in throughput and latency by 14.23%. The proposed artificial intelligence scheme reduces the network latency due to an increase in time slots over conventional algorithms previously proposed. Secondly, energy consumption is reduced by weighted load balancing, improving the network's actual lifespan. Our experimental results show that the coverage rate is increased on an average of 11% over the conventional Coverage Contribution Area (CCA), Partial Coverage with Learning Automata (PCLA), and Probabilistic Coverage Protocol (PCP) protocols respectively.

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Section: Related Workmentioning

confidence: 99%