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Energy-Efficient Patching Strategy for Wireless Sensor Networks

School of Big Data & Software Engineering, Chongqing University, Chongqing 400044, China
School of Information Technology, Deakin University, Melbourne, VIC 3125, Australia
College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China
Author to whom correspondence should be addressed.
Sensors 2019, 19(2), 262;
Received: 4 December 2018 / Revised: 5 January 2019 / Accepted: 7 January 2019 / Published: 10 January 2019
PDF [1151 KB, uploaded 15 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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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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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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