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节能型无线传感器网络补丁策略。

Energy-Efficient Patching Strategy for Wireless Sensor Networks.

机构信息

School of Big Data & Software Engineering, Chongqing University, Chongqing 400044, China.

School of Information Technology, Deakin University, Melbourne, VIC 3125, Australia.

出版信息

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.

摘要

无线传感器网络(WSNs)容易受到计算机病毒的攻击。为了保护 WSN 免受病毒攻击,必须及时更新与每个传感器节点相关联的病毒库。本文致力于为 WSN 开发节能补丁策略。首先,我们将原始问题建模为一个最优控制问题,其中(a)每个控制代表一个补丁策略,以及(b)要优化的目标函数代表一个补丁策略的节能效率。其次,我们证明了最优控制问题是可解的。其次,我们推导出了解决最优控制问题的最优性系统,并给出了一些例子。最后,我们研究了一些因素对最优控制的影响。所得结果有助于提高 WSN 的安全性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36fc/6359342/371567923d0a/sensors-19-00262-g001.jpg

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