Energy-Efficient Patching Strategy for Wireless Sensor Networks. 2019

Pengdeng Li, and Lu-Xing Yang, and Xiaofan Yang, and Xiang Zhong, and Junhao Wen, and Qingyu Xiong
School of Big Data & Software Engineering, Chongqing University, Chongqing 400044, China. pengdengli1992@cqu.edu.cn.

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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