Volume 19 No 2 (2021)
Download PDF
Multi-Objective Mother Foraging Algorithm for Optimization of Broadcast Node Deployment in Wi-Fi Detector Networks
Mr.A.Periyanan, Dr.S.Sudha, Mr.PDhilip Kumar, Mrs.R.Tamil Selvi
Abstract
Optimizing the deployment of broadcast nodes in Wi-Fi detector networks is crucial for enhancing the network's service life and reducing construction costs. This research proposes a novel approach that employs the multi-objective mother foraging algorithm to strategically deploy broadcast nodes in Wi-Fi detector networks, combining the fields of sensor networks and intelligent computation. The proposed method utilizes the multi-objective mother foraging algorithm to optimize the placement of all broadcast nodes in the network, aiming to maximize the overall service life while minimizing the number of broadcast nodes required. Additionally, the research introduces three innovative partial optimization operations to enhance the algorithm's efficiency. Simulation tests conducted on various networks with diverse sensor scales validate the effectiveness of the proposed method.
Keywords
Wi-Fi detector networks, Broadcast node deployment, Optimization, Multi-objective mother foraging algorithm, Service life, Network construction cost, Intelligent computation, Simulation tests.
Copyright
Copyright © Neuroquantology
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.