4.3 Article

An Energy-Efficient Routing Method in WSNs Based on Compressive Sensing: From the Perspective of Social Welfare

期刊

IEEE EMBEDDED SYSTEMS LETTERS
卷 13, 期 3, 页码 126-129

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LES.2020.3022848

关键词

Energy efficiency; Routing; Proposals; Wireless sensor networks; Compressed sensing; Decision making; Data acquisition; Compressive sensing (CS); energy inequality; social welfare; wireless sensor networks (WSNs)

资金

  1. National Natural Science Foundation of China [61763031, 61762061, 61962019]
  2. Jiangxi Key Laboratory of Smart City [20192BCD40002]
  3. Key Research and Development Projects of Shaanxi Province [2020NY-175]

向作者/读者索取更多资源

This letter introduces a novel routing method to improve energy efficiency among different clusters, and verifies its effectiveness through extensive experiments.
This letter presented a novel routing method to improve the energy efficiency among different clusters during intercluster routing decision making. To this end, the theory of energy welfare was applied to promote energy equality. Besides, the compressive sensing (CS) theory was utilized in intracluster data acquisition to further reduce data redundancy. Subsequently, an energy-efficient routing based on CS from the perspective of social welfare was proposed. Finally, extensive experiments were conducted and the numerical results verified its effectiveness on improving the energy efficiency and prolonging the network lifetime of wireless sensor networks.

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