Enhanced LEACH for Improving Lifespan of Hierarchical Wireless Sensor Networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

One of the most often chosen services for use in the technical sector, in applications in industries, or in the marketplace is wireless sensor networks. Important considerations when developing suitable sensor network wireless routing algorithms is energy required to transport data from sensor's node to their destination. In this paper, an improvised version of 'Low energy adaptive clustering hierarchy' called Enhanced LEACH is proposed. It defies limitations of traditional LEACH and enhances lifespan of the network. LEACH does not allow the sensor nodes which had been cluster heads in the previous rounds despite having energy beyond the threshold value. Enhanced LEACH allows all sensor nodes to participate in cluster head election technique by not differentiating sensor nodes which were selected as cluster nodes in previous rounds. Thereby considering sensor nodes based on their energy remaining in election of cluster head. Simulation results obtained has a clear advantage for proposed protocol in terms of dead nodes and packets delivered to base station and cluster heads.

Original languageEnglish
Title of host publicationProceedings - 1st International Conference on Electronics, Communication and Signal Processing, ICECSP 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350364590
DOIs
Publication statusPublished - 2024
Event1st International Conference on Electronics, Communication and Signal Processing, ICECSP 2024 - New Delhi, India
Duration: 08-08-202410-08-2024

Publication series

NameProceedings - 1st International Conference on Electronics, Communication and Signal Processing, ICECSP 2024

Conference

Conference1st International Conference on Electronics, Communication and Signal Processing, ICECSP 2024
Country/TerritoryIndia
CityNew Delhi
Period08-08-2410-08-24

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

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