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A mixed genetic algorithm strategy to sensor selection problem in WSNs

Damuut, LP and Gu, D (2013) A mixed genetic algorithm strategy to sensor selection problem in WSNs. In: UNSPECIFIED, ? - ?.

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Abstract

Selecting k out of a given set say n of sensors to accomplish some tasks or meet some well-defined objectives is often modelled and solved as an optimization problem or through an exhaustive search. The later solution strategy is ideal for some small sizes of both n and k. However, this simplistic method becomes quite hard and resource intensive considering a network of randomly deployed wireless sensor networks (WSNs) comprising a fairly large size of nodes (n). In this paper, we employ and extend the conventional genetic algorithm (GA) technique by incorporating a more robust bivariate gene combination comprising both binary and continuous values to encode chromosomes in the solution space. Simulation results show the effectiveness of this method and serves to stimulate further research in the problem domain. © 2013 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: Proceedings - 5th International Conference on Computational Intelligence, Communication Systems, and Networks, CICSyN 2013
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 08 Jan 2015 14:02
Last Modified: 23 Jan 2019 00:16
URI: http://repository.essex.ac.uk/id/eprint/12196

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