Energy-Efficient Patching Strategy for Wireless Sensor Networks

Sensors (Basel). 2019 Jan 10;19(2):262. doi: 10.3390/s19020262.

Abstract

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: computer virus; energy efficiency; optimal control theory; optimality system; patching strategy; wireless sensor network.