Multi-objective ACO Algorithm for WSN Layout: InterCriteria Analisys View Full Text


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Chapter Info

DATE

2020-02-13

AUTHORS

Stefka Fidanova , Olympia Roeva

ABSTRACT

One of the key objectives during wireless sensor networks deployment is full coverage of the monitoring region with a minimal number of sensors and minimized energy consumption of the network. In this paper we apply multi-objective Ant Colony Optimization (ACO) to solve this hard, from the computational point of view telecommunication problem. The number of ants is one of the key algorithm parameters in the ACO and it is important to find the optimal number of ants needed to achieve good solutions with minimal computational resources. The InterCriteria Analisys is applied in order to study the influence of ants number on the algorithm performance. More... »

PAGES

501-509

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-030-41032-2_57

DOI

http://dx.doi.org/10.1007/978-3-030-41032-2_57

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1124848595


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