Coverage-scheduling integrated routing in wireless sensor networks

Research output: Contribution to journalArticlepeer-review

Abstract

By employing the most-constrained least-constraining (MCLC) algorithm and directed diffusion (DD) and low energy adaptive clustering hierarchy (LEACH) routing protocol respectively, the performance in terms of nodes energy consumption, the balance of the consumption and the network lifetime of the coverage-scheduling strategies based on the different minimum residual energy of the node among the set was observed. The relation of network lifetime and minimum remaining energy was investigated. A new general approach of coverage-scheduling was proposed. Simulation results show that the new approach can effectively prolong the network lifetime, and meanwhile implies a new approach to design coverage control algorithm and coverage-scheduling policy.

Original languageEnglish
Pages (from-to)801-804+838
JournalBeijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
Volume37
Issue number7
StatePublished - Jul 2011

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

  • Balance of energy consumption
  • Coverage-scheduling
  • Network lifetime
  • Wireless sensor networks

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