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A novel clustering topology control for reliable multi-hop routing in wireless sensor networks

  • Ruiying Du*
  • , Chunyu Ai
  • , Longjiang Guo
  • , Jing Chen
  • , Jianwei Liu
  • , Jing He
  • , Yingshu Li
  • *Corresponding author for this work
  • Wuhan University
  • Key Laboratory of Precision Opto-Mechatronics Technology (Ministry of Education)
  • Troy University
  • Heilongjiang University
  • Georgia State University

Research output: Contribution to journalArticlepeer-review

Abstract

The reliability of wireless sensor networks is significant in certain applications, especially the reliable routing. Most existing routing protocols use multi-paths to improve routing reliability. However, multi-paths waste a large amount of energy to obtain redundancy. This is not an optimal option for sensor nodes with limited energy. In this paper, a novel clustering-based reliable multi-hop routing algorithm (CRMR) is proposed. The algorithm adopts a mechanism of multiple backup cluster heads efficiently to extend time of stable period of clusters and to decrease energy consumption for reconstructing clusters. The local reconstruction of clusters is addressed for improving coverage, maintaining connectivity, and extending the network lifetime. While the algorithm overcomes the randomicity of selecting cluster heads and ensures well proportioned clusters. Employing backup cluster heads and gateways can ensure reliability of routing and overcome disadvantages of most existing reliable routing protocols, which is to preserve multiple backup paths. The algorithm adopts query driving data transmission mode for finding routes and bypassing unavailable routing nodes for backtracking to ensure the speediness of data transmissions and the reliability. The simulation results show that the algorithm can achieve good performance on both routing reliability and energy consumption.

Original languageEnglish
Pages (from-to)654-664
Number of pages11
JournalJournal of Communications
Volume5
Issue number9
DOIs
StatePublished - Oct 2010

Keywords

  • Energy efficiency
  • Reliable routing
  • Wireless sensor networks

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