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Open AccessArticle

Energy-Efficient Patching Strategy for Wireless Sensor Networks

1
School of Big Data & Software Engineering, Chongqing University, Chongqing 400044, China
2
School of Information Technology, Deakin University, Melbourne, VIC 3125, Australia
3
College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(2), 262; https://doi.org/10.3390/s19020262
Received: 4 December 2018 / Revised: 5 January 2019 / Accepted: 7 January 2019 / Published: 10 January 2019
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. View Full-Text
Keywords: wireless sensor network; computer virus; patching strategy; energy efficiency; optimal control theory; optimality system wireless sensor network; computer virus; patching strategy; energy efficiency; optimal control theory; optimality system
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Li, P.; Yang, L.-X.; Yang, X.; Zhong, X.; Wen, J.; Xiong, Q. Energy-Efficient Patching Strategy for Wireless Sensor Networks. Sensors 2019, 19, 262.

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