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Maximum Coverage and Flexible Convergence based 3-D Localization Approach for Wireless Sensor Networks

Affiliations

  • Department of Computer Science and Engineering, Chandigarh University, Gharuan, Mohali - 140413, Punjab, India

Abstract


Objectives: Sensor network consists of sensor nodes, which independently organize the network and used in various applications like medical services, fire detection, military operations etc. This paper presents the 3-Dimensional GA based DV-Hop localization algorithm, which identifies the position of hidden nodes and distance from anchor node to the hidden node. The proposed model utilizes the swarm intelligence to localize the network. Methods: The proposed model simulation is entirely based upon the topology design with the randomly deployed network topology. The variable number of nodes has been obtained and the random positions are calculated to define the x and y coordinates of the nodes in the given topology. The proposed model has been tested with the different transmission ranges in order to understand the performance of the proposed model. Findings: The planned technique for localization empowers the wireless network to correctly analyze the solutions for the specific problems associated with the localization errors or positioning coverage. The performance parameters which compared with existing technique are average error and average localization error. Novelty of the Study: The experimental observations obtained from the proposed model shows the significant difference than the existing model, which shows the enhanced performance of planned model.

Keywords

Genetic Algorithm, Localization Error Recovery, WSN Localization.

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References


  • Sharma S, Mittal P. WSN: Architecture, protocols. International Journal of Advanced Research in Computer Science and Software Engineering. 2013 Jan; 3(2).
  • Peng B, Li L. An improved localization algorithm based on GA in WSN. Cognitive Neurodynamics. 2015 Apr 1; 9(2):249–56.
  • Gupta SK, Sinha P. Overview of WSN: A survey. Telos. 2014 Jan; 3(15):38.
  • Alrajeh NA, Bashir M, Shams B. Localization techniques in WSN. International Journal of Distributed Sensor Networks. 2013 Jun 26; 2013.
  • Chen M, Ding X, Wang X, Xu X. A novel 3-D localization algorithm based on DV-HOP. 2014 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC); 2014 Aug 5. p. 70–3.
  • Hussain S, Matin AW, Islam O. Genetic algorithm for hierarchical WSN. Journal of Networks. 2007 Jan 9; 2(5):87–97.
  • Azari L, Ghaffari A. Proposing a novel method based on network coding for optimizing error recovery in WSNs. Indian Journal of Science and Technology. 2015 May.

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