yang-energyefficient-2019.pdf (1.07 MB)
Energy-efficient patching strategy for wireless sensor networks
journal contribution
posted on 2019-01-01, 00:00 authored by Pengdeng Li, Luxing YangLuxing Yang, Xiaofan Yang, Xiang Zhong, Junhao Wen, Qingyu XiongWireless 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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Journal
SensorsVolume
19Issue
2Pagination
1 - 17Publisher
MDPILocation
Basel, SwitzerlandPublisher DOI
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eISSN
1424-8220Language
engPublication classification
C1 Refereed article in a scholarly journalUsage metrics
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Keywords
computer virusenergy efficiencyoptimal control theoryoptimality systempatching strategywireless sensor networkScience & TechnologyPhysical SciencesTechnologyChemistry, AnalyticalEngineering, Electrical & ElectronicInstruments & InstrumentationChemistryEngineeringVIRUSSPREADMODELDistributed ComputingEcology
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