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Multi-objective nodes placement problem in large regions wireless networks
Bekhit, Mahmoud Morsy, Ehab Salah, Ahmad
Bekhit, Mahmoud
Morsy, Ehab
Salah, Ahmad
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Abstract
In this paper, we concern with the problem of node placement in wireless communication networks. Given a set of nodes and a set of communication devices, the node placement problem requires to choose positions from a set of designated candidate sites to place these nodes such that a set of conflicting objectives are met. In particular, we focus on minimizing construction cost and network interference as well as maximizing network coverage and total bandwidth. This problem is formulated as a multi-objective optimization problem using the well-known algorithm Multi-Objective Evolutionary Algorithm Based on Decomposition (MOEA/D) algorithm. Furthermore, we apply an adapting version of this algorithm to solve our problem. Our experimental results show that MOEA/D has a good performance in a reasonable running time. Moreover, comparative results show that our algorithm is effective in all the desired objectives.
Keywords
Wireless Networks, Node Placement, Genetic Algorithm, Optimization Problems, Multi-objective Evolutionary Algorithm Based on Decomposition
Date
2014
Type
Conference paper
Journal
Book
Electronics, Communications and Networks IV
Volume
Issue
Page Range
61-66
Article Number
ACU Department
Peter Faber Business School
Faculty of Law and Business
Faculty of Law and Business
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Open Access Status
License
All rights reserved
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Controlled
Notes
© 2015 Taylor & Francis Group, London, UK