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An improved DV-Hop localization with minimum connected dominating set for mobile nodes in wireless sensor networks

Author

Listed:
  • Gulshan Kumar
  • Mritunjay Kumar Rai
  • Rahul Saha
  • Hye-jin Kim

Abstract

Localization is one of the key concepts in wireless sensor networks. Different techniques and measures to calculate the location of unknown nodes were introduced in recent past. But the issue of nodes’ mobility requires more attention. The algorithms introduced earlier to support mobility lack the utilization of the anchor nodes’ privileges. Therefore, in this article, an improved DV-Hop localization algorithm is introduced that supports the mobility of anchor nodes as well as unknown nodes. Coordination of anchor nodes creates a minimum connected dominating set that works as a backbone in the proposed algorithm. The focus of the research paper is to locate unknown nodes with the help of anchor nodes by utilizing the network resources efficiently. The simulated results in network simulator-2 and the statistical analysis of the data provide a clear impression that our novel algorithm improves the error rate and the time consumption.

Suggested Citation

  • Gulshan Kumar & Mritunjay Kumar Rai & Rahul Saha & Hye-jin Kim, 2018. "An improved DV-Hop localization with minimum connected dominating set for mobile nodes in wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 14(1), pages 15501477187, January.
  • Handle: RePEc:sae:intdis:v:14:y:2018:i:1:p:1550147718755636
    DOI: 10.1177/1550147718755636
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    References listed on IDEAS

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    1. Shrawan Kumar & D. K. Lobiyal, 2012. "An Enhanced DV-Hop Localization Algorithm for Wireless Sensor Networks," International Journal of Wireless Networks and Broadband Technologies (IJWNBT), IGI Global, vol. 2(2), pages 16-35, April.
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    Cited by:

    1. Tapan Kumar Mohanta & Dushmanta Kumar Das, 2022. "Improved DV-Hop localization algorithm based on social learning class topper optimization for wireless sensor network," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 80(4), pages 529-543, August.

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