Genetical Swarm Optimization of Multihop Routes in Wireless Sensor Networks
Joint Authors
Grimaccia, Francesco
Zich, Riccardo E.
Mussetta, Marco
Caputo, Davide
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-03-06
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Abstract EN
In recent years, wireless sensor networks have been attracting considerable research attention for a wide range of applications, but they still present significant network communication challenges, involving essentially the use of large numbers of resource-constrained nodes operating unattended and exposed to potential local failures.
In order to maximize the network lifespan, in this paper, genetical swarm optimization (GSO) is applied, a class of hybrid evolutionary techniques developed in order to exploit in the most effective way the uniqueness and peculiarities of two classical optimization approaches; particle swarm optimization (PSO) and genetic algorithms (GA).
This procedure is here implemented to optimize the communication energy consumption in a wireless network by selecting the optimal multihop routing schemes, with a suitable hybridization of different routing criteria, confirming itself as a flexible and useful tool for engineering applications.
American Psychological Association (APA)
Caputo, Davide& Grimaccia, Francesco& Mussetta, Marco& Zich, Riccardo E.. 2011. Genetical Swarm Optimization of Multihop Routes in Wireless Sensor Networks. Applied Computational Intelligence and Soft Computing،Vol. 2010, no. 2010, pp.1-14.
https://search.emarefa.net/detail/BIM-478478
Modern Language Association (MLA)
Caputo, Davide…[et al.]. Genetical Swarm Optimization of Multihop Routes in Wireless Sensor Networks. Applied Computational Intelligence and Soft Computing No. 2010 (2010), pp.1-14.
https://search.emarefa.net/detail/BIM-478478
American Medical Association (AMA)
Caputo, Davide& Grimaccia, Francesco& Mussetta, Marco& Zich, Riccardo E.. Genetical Swarm Optimization of Multihop Routes in Wireless Sensor Networks. Applied Computational Intelligence and Soft Computing. 2011. Vol. 2010, no. 2010, pp.1-14.
https://search.emarefa.net/detail/BIM-478478
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-478478