Open AccessGenetic Algorithm-Based Multi-Hop Routing to Improve the Lifetime of Wireless Sensor Networks
Author(s) -
Adel Rajab
Publication year - 2021
Publication title -
engineering, technology and applied science research/engineering, technology and applied science research
Language(s) - English
Resource type - Journals
eISSN - 2241-4487
pISSN - 1792-8036
DOI - 10.48084/etasr.4484
Subject(s) - wireless sensor network , computer science , key distribution in wireless sensor networks , computer network , genetic algorithm , wireless , energy consumption , mobile wireless sensor network , hop (telecommunications) , dynamic source routing , multipath routing , distributed computing , routing protocol , routing (electronic design automation) , wireless network , engineering , telecommunications , electrical engineering , machine learning
Wireless sensor networks are known for their monitoring and tracking application-specific operations. These operations diversely demand improvement in existing strategies and their parameters. One key parameter is energy usage during operations. Energy plays a vital role in each application, as the wireless sensor networks lack battery lifetime and energy resources. So, there is a need for an optimized and efficient routing method with regard to energy consumption in wireless sensor networks. For multi-hop routing, the genetic algorithm serves as a robust algorithm with diverse optimized routing plans to improve the lifespan for large-scale wireless sensor networks. In this paper, the genetic algorithm provides the optimized routes for data operations and improves the lifetime of wireless sensor networks by saving energy. The performance of the genetic algorithm is compared with the TEEN algorithm.