Genetical Swarm Optimization of Multihop Routes in Wireless Sensor Networks
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...
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| Format: | Article |
| Language: | English |
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Wiley
2010-01-01
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| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2010/523943 |
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| author | Davide Caputo Francesco Grimaccia Marco Mussetta Riccardo E. Zich |
| author_facet | Davide Caputo Francesco Grimaccia Marco Mussetta Riccardo E. Zich |
| author_sort | Davide Caputo |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-4f46c50a682f4f78baa0945a5818d9ce |
| institution | OA Journals |
| issn | 1687-9724 1687-9732 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Computational Intelligence and Soft Computing |
| spelling | doaj-art-4f46c50a682f4f78baa0945a5818d9ce2025-08-20T02:05:38ZengWileyApplied Computational Intelligence and Soft Computing1687-97241687-97322010-01-01201010.1155/2010/523943523943Genetical Swarm Optimization of Multihop Routes in Wireless Sensor NetworksDavide Caputo0Francesco Grimaccia1Marco Mussetta2Riccardo E. Zich3Politecnico di Milano, Dipartimento di Energia, Via La Masa, 34, I-20156 Milano, ItalyPolitecnico di Milano, Dipartimento di Energia, Via La Masa, 34, I-20156 Milano, ItalyPolitecnico di Milano, Dipartimento di Energia, Via La Masa, 34, I-20156 Milano, ItalyPolitecnico di Milano, Dipartimento di Energia, Via La Masa, 34, I-20156 Milano, ItalyIn 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.http://dx.doi.org/10.1155/2010/523943 |
| spellingShingle | Davide Caputo Francesco Grimaccia Marco Mussetta Riccardo E. Zich Genetical Swarm Optimization of Multihop Routes in Wireless Sensor Networks Applied Computational Intelligence and Soft Computing |
| title | Genetical Swarm Optimization of Multihop Routes in Wireless Sensor Networks |
| title_full | Genetical Swarm Optimization of Multihop Routes in Wireless Sensor Networks |
| title_fullStr | Genetical Swarm Optimization of Multihop Routes in Wireless Sensor Networks |
| title_full_unstemmed | Genetical Swarm Optimization of Multihop Routes in Wireless Sensor Networks |
| title_short | Genetical Swarm Optimization of Multihop Routes in Wireless Sensor Networks |
| title_sort | genetical swarm optimization of multihop routes in wireless sensor networks |
| url | http://dx.doi.org/10.1155/2010/523943 |
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