Influence of the Number of Ants on Multi-objective Ant Colony Optimization Algorithm for Wireless Sensor Network Layout View Full Text


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Chapter Info

DATE

2014-06-26

AUTHORS

Stefka Fidanova , Pencho Marinov , Marcin Paprzycki

ABSTRACT

Wireless sensor networks monitor physical or environmental conditions. One of key objectives during their deployment is full coverage of the monitoring region with a minimal number of sensors and minimized energy consumption of the network. The problem is hard from the computational point of view. Thus, the most appropriate approach to solve it is application of some metaheuristics. In this paper we apply multi-objective Ant Colony Optimization to solve this important telecommunication problem. The aim is to study the influence of the number of the ants on the algorithm performance. More... »

PAGES

232-239

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-662-43880-0_25

DOI

http://dx.doi.org/10.1007/978-3-662-43880-0_25

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1042609063


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