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Cognitive Neurodynamics

, Volume 9, Issue 2, pp 249–256 | Cite as

An improved localization algorithm based on genetic algorithm in wireless sensor networks

Research Article

Abstract

Wireless sensor network (WSN) are widely used in many applications. A WSN is a wireless decentralized structure network comprised of nodes, which autonomously set up a network. The node localization that is to be aware of position of the node in the network is an essential part of many sensor network operations and applications. The existing localization algorithms can be classified into two categories: range-based and range-free. The range-based localization algorithm has requirements on hardware, thus is expensive to be implemented in practice. The range-free localization algorithm reduces the hardware cost. Because of the hardware limitations of WSN devices, solutions in range-free localization are being pursued as a cost-effective alternative to more expensive range-based approaches. However, these techniques usually have higher localization error compared to the range-based algorithms. DV-Hop is a typical range-free localization algorithm utilizing hop-distance estimation. In this paper, we propose an improved DV-Hop algorithm based on genetic algorithm. Simulation results show that our proposed algorithm improves the localization accuracy compared with previous algorithms.

Keywords

Wireless sensor network Localization DV-Hop Genetic algorithm 

Notes

Acknowledgments

The author would like to express gratitude to all those who have helped her during the writing of this paper. She deeply appreciates the contribution to this paper made in various ways by her friends and classmates.

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Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  1. 1.Graduate School of EngineeringHosei UniversityKoganeiJapan
  2. 2.Faculty of Science and EngineeringHosei UniversityTokyoJapan

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