The Energy Efficient strategy for Wireless Sensor Networks lifetime endurance using Genetic Algorithm
DOI:
https://doi.org/10.30537/sjet.v7i1.1430Keywords:
Wireless Sensor Networks, Energy efficiency, GA, Network routing, Multiple hops.Abstract
This study propose an optimized routing scheme for multiple hops Wireless Sensor Networks to enhance the lifetime of the network. Since the wireless sensor networks work as application-centric having the capabilities of data gathering and transmission to the base station. Therefore, a significant amount of sensor networks` energy spends during such operation of data collection and transmission if the route is not optimized. So, a meta-heuristic genetic algorithm plays a vital role in finding the optimized route. We will modify the genetic algorithm for better optimization results so that the best route can be selected among all possible routes and will save the wireless sensor networks` energy. All information is routed towards the sink via intermediate neighbor nodes, which only relay the data without performing any computation or operation. The genetic algorithm determines the route information to all nodes and sinks. Then, the data takes the most optimal route for data transmission. Thus, this study proved a considerably saved extra waste of energy.
Downloads
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Sukkur IBA Journal of Emerging Technologies
![Creative Commons License](http://i.creativecommons.org/l/by-nc/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The SJET holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJET, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJET is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.