Wireless Sensor Positioning Using ACO Algorithm View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2016-10-29

AUTHORS

Stefka Fidanova , Miroslav Shindarov , Pencho Marinov

ABSTRACT

Spatially distributed sensors, which communicate wirelessly form a wireless sensor network (WSN). This network monitors physical or environmental conditions. A central gateway, called high energy communication node, collects data from all sensors and sends them to the central computer where they are processed. We need to minimize the number of sensors and energy consumption of the network, when the terrain is fully covered. We convert the problem from multi-objective to mono-objective. The new objective function is a linear combination between the number of sensors and network energy. We propose ant colony optimization (ACO) algorithm to solve the problem. We compare our results with the state of the art in the literature. More... »

PAGES

33-44

Book

TITLE

Recent Contributions in Intelligent Systems

ISBN

978-3-319-41437-9
978-3-319-41438-6

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-41438-6_3

DOI

http://dx.doi.org/10.1007/978-3-319-41438-6_3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1034391995


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