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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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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. |
format | Online Article Text |
id | pubmed-6359342 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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