A modified differential evolution for autonomous deployment and localization of sensor nodes
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86085024" target="_blank" >RIV/61989100:27240/11:86085024 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/2001858.2001990" target="_blank" >http://dx.doi.org/10.1145/2001858.2001990</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2001858.2001990" target="_blank" >10.1145/2001858.2001990</a>
Alternative languages
Result language
angličtina
Original language name
A modified differential evolution for autonomous deployment and localization of sensor nodes
Original language description
The performance of a wireless sensor network (WSN) is largely influenced by the optimal deployment and accurate localization of sensor nodes. This article considers real-time autonomous deployment of sensor nodes from an unmanned aerial vehicle (UAV). This kind of deployment has importance, particularly in ad hoc WSNs, for emergency applications, such as disaster monitoring and battlefield surveillance. The objective is to deploy the nodes only in the terrains of interest, which are identified by segmentation of the images captured by a camera on board the UAV. In this article we propose an improved variant of an important evolutionary algorithm Differential Evolution for image segmentation and for distributed localization of the deployed nodes. Simulation results show that the proposed algorithm ADE_pBX performs image segmentation faster than both types of algorithm for optimal thresholds. Moreover in case of localization it gives more accurate results than the compared algorithms.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F09%2F1494" target="_blank" >GA102/09/1494: New methods od data transmition based on turbo code</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication
ISBN
978-1-4503-0690-4
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
235-236
Publisher name
ACM
Place of publication
New York
Event location
Dublin
Event date
Jul 12, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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