Energy Optimization of PR-LEACH Routing Scheme Using Distance Awareness in Internet of Things Networks

Fakhri Alam Khan, Awais Ahmad, Muhammad Imran*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Routing protocols plays a key role in coherent use of resources in Internet of Things (IoT). The more efficient routing scheme is, the more efficiently will nodes communicate with each other. In this paper, we present presents an efficient cluster based routing protocol for IoT. The protocol aims at increasing lifetime and stability of networks. The paper introduces a new routing scheme Modified-Percentage LEACH Protocol based on existing protocol namely Percentage LEACH. Extra amount of energy wastage is alleviated by reducing communication between Cluster Heads (CHs) and sink. Thus, it increases the lifetime of sensor nodes in IoT communication networks. It is achieved by introducing threshold calculation on each CH, which is used as basic criteria for CH election and selection. The protocol also takes into account distance parameter of nodes from sink. This protocol helps plummeting energy wastage which results in more lifetime and high throughput. The depicted protocol is compared with its parent protocol and simulation results shows high throughput and outperforms its parent protocols.

Original languageEnglish
Pages (from-to)244-263
Number of pages20
JournalInternational Journal of Parallel Programming
Volume48
Issue number2
DOIs
StatePublished - 1 Apr 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018, Springer Science+Business Media, LLC, part of Springer Nature.

Keywords

  • Energy consumption
  • Hierarchical protocols
  • Routing protocols
  • Wireless sensor networks

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Information Systems

Fingerprint

Dive into the research topics of 'Energy Optimization of PR-LEACH Routing Scheme Using Distance Awareness in Internet of Things Networks'. Together they form a unique fingerprint.

Cite this