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Energy-Efficient Patching Strategy for Wireless Sensor Networks

delete2019-01-10
delete7
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OA
AI
P
Pengdeng Li
L
Lu‐Xing Yang
杨
杨小帆 (Xiaofan Yang) *
X
Xiang Zhong
J
Junhao Wen
熊
熊庆宇 (Qingyu Xiong)
DOI:10.3390/s19020262delete
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Abstract

Abstract

En 中文
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.
Keywords:
wireless sensor network
computer virus
patching strategy
energy efficiency
optimal control theory
optimality system
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Sensors cover
Sensors
IF:
3.5
Papers:
7.2W
Citations:
20.9W

Organization

C
Chongqing University
Scholars:
5.1W
Papers: 4.1W
Citations: 6.0W
D
Deakin University
Scholars:
2.0W
Papers: 2.1W
Citations: 2.8W
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