Genetic Algorithm Application in Optimization of Wireless Sensor Networks
There are several applications known for wireless sensor networks (WSN), and such variety demands improvement of the currently available protocols and the specific parameters. Some notable parameters are lifetime of network and energy consumption for routing which play key role in every application....
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/286575 |
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| author | Ali Norouzi A. Halim Zaim |
| author_facet | Ali Norouzi A. Halim Zaim |
| author_sort | Ali Norouzi |
| collection | DOAJ |
| description | There are several applications known for wireless sensor networks (WSN), and such variety demands improvement of the currently available protocols and the specific parameters. Some notable parameters are lifetime of network and energy consumption for routing which play key role in every application. Genetic algorithm is one of the nonlinear optimization methods and relatively better option thanks to its efficiency for large scale applications and that the final formula can be modified by operators. The present survey tries to exert a comprehensive improvement in all operational stages of a WSN including node placement, network coverage, clustering, and data aggregation and achieve an ideal set of parameters of routing and application based WSN. Using genetic algorithm and based on the results of simulations in NS, a specific fitness function was achieved, optimized, and customized for all the operational stages of WSNs. |
| format | Article |
| id | doaj-art-d7b4a44daf844bdbb2e39eccf312a10d |
| institution | OA Journals |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-d7b4a44daf844bdbb2e39eccf312a10d2025-08-20T02:21:11ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/286575286575Genetic Algorithm Application in Optimization of Wireless Sensor NetworksAli Norouzi0A. Halim Zaim1Computer Engineering Department, Istanbul University, 34320 Istanbul, TurkeyComputer Engineering Department, Istanbul University, 34320 Istanbul, TurkeyThere are several applications known for wireless sensor networks (WSN), and such variety demands improvement of the currently available protocols and the specific parameters. Some notable parameters are lifetime of network and energy consumption for routing which play key role in every application. Genetic algorithm is one of the nonlinear optimization methods and relatively better option thanks to its efficiency for large scale applications and that the final formula can be modified by operators. The present survey tries to exert a comprehensive improvement in all operational stages of a WSN including node placement, network coverage, clustering, and data aggregation and achieve an ideal set of parameters of routing and application based WSN. Using genetic algorithm and based on the results of simulations in NS, a specific fitness function was achieved, optimized, and customized for all the operational stages of WSNs.http://dx.doi.org/10.1155/2014/286575 |
| spellingShingle | Ali Norouzi A. Halim Zaim Genetic Algorithm Application in Optimization of Wireless Sensor Networks The Scientific World Journal |
| title | Genetic Algorithm Application in Optimization of Wireless Sensor Networks |
| title_full | Genetic Algorithm Application in Optimization of Wireless Sensor Networks |
| title_fullStr | Genetic Algorithm Application in Optimization of Wireless Sensor Networks |
| title_full_unstemmed | Genetic Algorithm Application in Optimization of Wireless Sensor Networks |
| title_short | Genetic Algorithm Application in Optimization of Wireless Sensor Networks |
| title_sort | genetic algorithm application in optimization of wireless sensor networks |
| url | http://dx.doi.org/10.1155/2014/286575 |
| work_keys_str_mv | AT alinorouzi geneticalgorithmapplicationinoptimizationofwirelesssensornetworks AT ahalimzaim geneticalgorithmapplicationinoptimizationofwirelesssensornetworks |