Mesh node placement in wireless mesh network based on multiobjective evolutionary metaheuristic Online publication date: Tue, 03-Oct-2017
by Oumarou Mamadou Bello; Kolyang Dina Taiwe
International Journal of Autonomic Computing (IJAC), Vol. 2, No. 3, 2017
Abstract: To achieve important properties of wireless mesh networks (WMNs) such as coverage and reliability, the placement of mesh nodes plays an important role. The impact of the mesh node placement on the performance of WMNs has been carried out in the past years. To improve such properties, we propose a novel scheme for mesh node placement in WMNs. We have developed a multi-objective optimisation model for node placement where the coverage, reliability and the total installation cost in terms of nodes to be deployed are the three objectives to optimise simultaneously. We first applied the two well-known evolutionary algorithms, namely the non-dominated sorting genetic algorithm-II (NSGA-II) and multi-objective genetic algorithm (MOGA) to generate the number and positions of the communication nodes. Subsequently, we developed algorithms that determine the cluster formation, gateway selection and relay nodes selection. The results showed satisfactory performance.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Autonomic Computing (IJAC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook