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Energy-Efficient Patching Strategy for Wireless Sensor Networks

Wireless sensor networks (WSNs) are vulnerable to computer viruses. To protect WSNs from virus attack, the virus library associated with each sensor node must be updated in a timely way. This article is devoted to developing energy-efficient patching strategies for WSNs. First, we model the original...

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Detalles Bibliográficos
Autores principales: Li, Pengdeng, Yang, Lu-Xing, Yang, Xiaofan, Zhong, Xiang, Wen, Junhao, Xiong, Qingyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359342/
https://www.ncbi.nlm.nih.gov/pubmed/30634722
http://dx.doi.org/10.3390/s19020262
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author Li, Pengdeng
Yang, Lu-Xing
Yang, Xiaofan
Zhong, Xiang
Wen, Junhao
Xiong, Qingyu
author_facet Li, Pengdeng
Yang, Lu-Xing
Yang, Xiaofan
Zhong, Xiang
Wen, Junhao
Xiong, Qingyu
author_sort Li, Pengdeng
collection PubMed
description Wireless sensor networks (WSNs) are vulnerable to computer viruses. To protect WSNs from virus attack, the virus library associated with each sensor node must be updated in a timely way. This article is devoted to developing energy-efficient patching strategies for WSNs. First, we model the original problem as an optimal control problem in which (a) each control stands for a patching strategy, and (b) the objective functional to be optimized stands for the energy efficiency of a patching strategy. Second, we prove that the optimal control problem is solvable. Next, we derive the optimality system for solving the optimal control problem, accompanied with a few examples. Finally, we examine the effects of some factors on the optimal control. The obtained results help improve the security of WSNs.
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spelling pubmed-63593422019-02-06 Energy-Efficient Patching Strategy for Wireless Sensor Networks Li, Pengdeng Yang, Lu-Xing Yang, Xiaofan Zhong, Xiang Wen, Junhao Xiong, Qingyu Sensors (Basel) Article Wireless sensor networks (WSNs) are vulnerable to computer viruses. To protect WSNs from virus attack, the virus library associated with each sensor node must be updated in a timely way. This article is devoted to developing energy-efficient patching strategies for WSNs. First, we model the original problem as an optimal control problem in which (a) each control stands for a patching strategy, and (b) the objective functional to be optimized stands for the energy efficiency of a patching strategy. Second, we prove that the optimal control problem is solvable. Next, we derive the optimality system for solving the optimal control problem, accompanied with a few examples. Finally, we examine the effects of some factors on the optimal control. The obtained results help improve the security of WSNs. MDPI 2019-01-10 /pmc/articles/PMC6359342/ /pubmed/30634722 http://dx.doi.org/10.3390/s19020262 Text en © 2019 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
Li, Pengdeng
Yang, Lu-Xing
Yang, Xiaofan
Zhong, Xiang
Wen, Junhao
Xiong, Qingyu
Energy-Efficient Patching Strategy for Wireless Sensor Networks
title Energy-Efficient Patching Strategy for Wireless Sensor Networks
title_full Energy-Efficient Patching Strategy for Wireless Sensor Networks
title_fullStr Energy-Efficient Patching Strategy for Wireless Sensor Networks
title_full_unstemmed Energy-Efficient Patching Strategy for Wireless Sensor Networks
title_short Energy-Efficient Patching Strategy for Wireless Sensor Networks
title_sort energy-efficient patching strategy for wireless sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359342/
https://www.ncbi.nlm.nih.gov/pubmed/30634722
http://dx.doi.org/10.3390/s19020262
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