Energy-efficient node scheduling algorithms for wireless sensor networks using Markov random field model

DOI10.1016/J.INS.2015.09.039zbMath1390.68120OpenAlexW2181009140WikidataQ59044348 ScholiaQ59044348MaRDI QIDQ1750540

Hongju Cheng, Yang Xiao, Zhihuang Su, Naixue Xiong

Publication date: 22 May 2018

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2015.09.039

zbMATH Keywords

Markov random fieldwireless sensor networksenergy efficiencynode schedulingcorrelation optimization

Mathematics Subject Classification ID

Performance evaluation, queueing, and scheduling in the context of computer systems (68M20) Probability in computer science (algorithm analysis, random structures, phase transitions, etc.) (68Q87)

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An adaptive virtual relaying set scheme for loss-and-delay sensitive WSNs

Cites Work

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• Data aggregation and routing in wireless sensor networks: Optimal and heuristic algorithms
• Spatio-temporal correlation: theory and applications for wireless sensor networks
• Spatial prediction with mobile sensor networks using Gaussian processes with built-in Gaussian Markov random fields
• Markov Random Field Modeling in Image Analysis
• Incremental Distributed Identification of Markov Random Field Models in Wireless Sensor Networks

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