Coverage Restoration Method for Wireless Sensor Networks of Distributed PV System

Fu, Zhixin; Liu, Zhen; Yuan, Yue; Zhao, Min; Li, Qiaomu

doi:10.1155/2015/738237

Cited by 1 publication

(1 citation statement)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors claimed that their model achieved failure detection with high accuracy within a short time with as few message exchanges as possible and a minimal energy overhead. Particle swarm optimisation based on random weight was also employed in [16] to address the performance degradation problem caused by node failures in photovoltaic monitoring network.…”

Section: Review Of Related Literaturementioning

confidence: 99%

Network Restoration in Wireless Sensor Networks for Next-Generation Applications

2019

View full text Add to dashboard Cite

This paper investigates highly efficient network restoration models for wireless sensor networks (WSNs) to be deployed for next-generation (xG) applications. The developed network restoration models are designed with two main goals in mind. The first goal is to optimise network resource utilisation, the second is to protect the network against failures. In realising the goal of optimising resource usage, a peculiar feature of WSNs is exploited, namely, their ability to remain in active service even when one or more of their active elements (sensor nodes and/or connecting links) fail. To achieve the second goal of network protection, we leverage the advantage of p-cycle-based restoration solutions -the fact that they can provide ring-like recovery speeds with mesh-like capacity efficiencies -in developing optimal p-cycle restoration models that provide sufficient protection for the network against both link and node failures. In the restoration models developed, we employ a selection process that jointly considers the shortest lengths, best topologies and capacity requirements of the available p-cycles in achieving new capacity-optimal p-cycle-based restoration solutions for the network. Comparative results obtained show that our developed selection-based capacity-efficient p-cycle restoration solutions for WSNs outperform other similar approaches for both network realisation and protection, making them particularly ideal for xG applications.

show abstract

Section: Review Of Related Literaturementioning

confidence: 99%