Entropy Weighted-Based (EWB) I-LEACH Protocol for Energy-Efficient IoT Applications

Prinu Chako Philip, Mohammed Abdel Hafez

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

3 Citations (Scopus)

Abstract

The Internet of Things (IoT) is one of the emerging applications in the Wireless Sensor Networks (WSNs). The major concern in WSN is the limited battery power, which can be overcome by selecting the effective cluster head (CH) for the transmission of data in the network. In this paper, an entropy weighted-based I-LEACH protocol is developed for the selection of the CH. The proposed entropy weighted-based I-LEACH protocol is developed by modifying the standard LEACH protocol with the entropy weight. Initially, the IoT nodes are grouped together to form clusters, which is followed by the selection of the cluster head (CH) for the transmission of the data packets to the base station (BS). The CH is selected depending on the threshold value, which is based on the entropy function. The performance metrics, such as number of alive nodes and energy is used for evaluating the effectiveness of the proposed entropy weighted-based (EWB) I-LEACH protocol. The proposed EWB I-LEACH protocol obtained a maximal alive nodes of 11 and maximal energy of 0.1138 J for 50 nodes under dual-slop channel model and obtained a maximal alive nodes of 9 and maximal energy of 0.1116 J for 50 nodes by considering log normal shadowing channel model when compared to the existing protocols.

Original languageEnglish
Title of host publication2020 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728184203
DOIs
Publication statusPublished - Dec 12 2020
Event2020 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2020 - Dubai, United Arab Emirates
Duration: Dec 12 2020Dec 16 2020

Publication series

Name2020 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2020

Conference

Conference2020 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2020
Country/TerritoryUnited Arab Emirates
CityDubai
Period12/12/2012/16/20

Keywords

  • Internet of Things
  • Wireless Sensor Network
  • data transmission
  • routing
  • sensor nodes

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management

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