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Degree-energy-based local random routing strategies for sensor networks

  • Fan Yan
  • , Alan K.H. Yeung
  • , Andreas C. Joseph
  • , Guanrong Chen

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

This paper proposes several comparable degree-energy-based local random routing strategies for wireless sensor networks and reports a detailed numerical study of the new strategies. Specifically, energy consumption and lifetime efficiency of sensor networks are investigated for five different structural topologies and five different routing methods under the degree-energy-awareness principle, regarding their performances and costs. The new findings could provide some references and guidelines for designing more efficient sensor networks under various conditions for future applications. Based on these findings, a few rules of thumb for the design of more energy-efficient sensor networks are suggested.

Original languageEnglish
Pages (from-to)250-262
Number of pages13
JournalCommunications in Nonlinear Science and Numerical Simulation
Volume20
Issue number1
DOIs
Publication statusPublished - Jan 2015
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Data routing
  • Energy consumption
  • Network lifetime
  • Random-walk betweenness
  • Sensor network

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