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Multi-objective transmitters placement problem in wireless networks
Gamal, Mahmoud Morsy, Ehab Fathy, Ahmed
Gamal, Mahmoud
Morsy, Ehab
Fathy, Ahmed
Abstract
In this paper, we consider the problem of placing a set of transmitters, of bounded total cost, in small area wireless networks with a set of receivers each of which of a predefined nonnegative weight. The problem asks to determine and place a set of transmitters in suitable candidate sites such that a set of conflicting objectives are met under cost constraints on transmitters. Namely, we look for transmitter placement that maximizes the total weights of covered receivers, minimizes the total capacitance, and minimizes the overlap in the network. This problem is solved as multi-objective optimization problem by applying a Multi-Objective Evolutionary Algorithm Based on Decomposition Algorithm. Our experimental results show that the proposed algorithm has a good performance in a reasonable running time.
Keywords
wireless networks, transmitters placement, genetic algorithm, optimization problems, multi-objective evolutionary algorithm based on decomposition
Date
2015
Type
Conference paper
Journal
Book
Volume
Issue
Page Range
156-162
Article Number
ACU Department
Peter Faber Business School
Faculty of Law and Business
Faculty of Law and Business
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Relation URI
Open Access Status
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All rights reserved
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Notes
© 2015 ACM