Node Localization in Wireless Sensor Networks using Dynamic Genetic Algorithm
A wireless sensor network is a collection of nodes organized in a cooperative environment. Node localization plays a vital role in many applications. Conventional location detection techniques such as global positioning system (GPS) and infrared are expensive to f...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | México |
| Institución: | UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO |
| Repositorio: | Journal of Applied Research and Technology |
| Idioma: | inglés |
| OAI Identifier: | oai:ojs2.localhost:article/1083 |
| Acceso en línea: | https://jart.icat.unam.mx/index.php/jart/article/view/1083 |
| Access Level: | acceso abierto |
| Palabra clave: | Wireless Sensor Networks, Genetic Algorithm, Received Signal Strength, Optimization |
| Sumario: | A wireless sensor network is a collection of nodes organized in a cooperative environment. Node localization plays a vital role in many applications. Conventional location detection techniques such as global positioning system (GPS) and infrared are expensive to find the location node. This paper proposes the use of a genetic algorithm (GA) to learn the environment impairments within a wireless sensor network with the purpose of localization for data management. Hence, in this paper, we have presented an efficient and dynamic Genetic algorithm with help of receiving signal strength indicator (RSSI) which gives the optimal node location value with minimal localization error. Our simulation modeled in MATLAB 7.0 shows that the dynamic GA can achieve acceptable node location detection with the aid of three anchors. The simulation results represent th |
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