A Comparative Analysis of Optimizing Leach Clustering Algorithm with Mobile Sink in WSN

Authors

  • I Singh Research Scholar, CTIEMT Shahpur Jalandhar, Punjab, India
  • Pooja Assistant Professor, CTIEMT Shahpur, Jalandhar, Punjab, India
  • Varsha Assistant Professor, CTIEMT Shahpur, Jalandhar, Punjab, India

Keywords:

Wireless sensor network, battery, Network lifetime, clustering, LEACH, mobile sink, neural network

Abstract

Wireless sensor networks are consisting of several sensor nodes that collect information from their surroundings and then transmit to the end user. In wireless sensor networks, the battery is the main issue. Network lifetime of network depend upon the sensor’s communication. Various methods and techniques are used to enhance the network lifetime. Some authors’ focuses on the mobile sink which is used to reduce the energy consumption. The low energy adaptive clustering hierarchy (LEACH) is an effective algorithm where all the nodes within the cluster send their respective data to the local cluster head.[1] Here, the cluster head selection is done by the technique neural network (NN) in the area of 150*150, 200*200 and 250*250, 350*350, 450*450 which provides greater functionality in the homogeneous WSNs.

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Published

2025-11-11

How to Cite

[1]
I. Singh, Pooja, and Varsha, “A Comparative Analysis of Optimizing Leach Clustering Algorithm with Mobile Sink in WSN”, Int. J. Comp. Sci. Eng., vol. 5, no. 3, pp. 84–91, Nov. 2025.

Issue

Vol. 5 No. 3 (2017): IJCSE March Edition

Section

Research Article

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