Resumen

ROUT, Saroja Kumar; MOHAPATRA, Pradyumna Kumar; RATH, Amiya Kumar  y  SAHU, Bibhuprasad. Node localization in wireless sensor networks using a dynamic genetic algorithm. J. appl. res. technol [online]. 2022, vol.20, n.5, pp.520-528.  Epub 31-Jul-2023. ISSN 2448-6736.  https://doi.org/10.22201/icat.24486736e.2022.20.5.1083.

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 systems (GPS) and infrared are expensive to find the location node. This paper proposes the use of a genetic algorithm (GA) to learn the environmental impairments within a wireless sensor network with the purpose of localization for data management. In this paper, we have presented an efficient and dynamic Genetic algorithm with help of a received 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 work represents that the proposed optimization method gives an accurate node location estimation value efficiently.

Palabras llave : Wireless sensor networks; genetic algorithm; received signal strength; optimization.