Abstract:
Wireless Sensor Networks (WSN) is an emerging filed based on the arrangement of sensors. WSN provides the sensing data for the applications of internet of things. Optimize routing is essential for WSN, since WSNs have many limitations such as node selection, load balancing, data aggregation and data collection as well. All these factors depend upon the optimize and effective routing procedure that gives an optimal path for the transmission of data so that minimum energy is utilized while transferring the data. Therefore, it is necessary to optimize the routing techniques of WSN for the application of internet of things. This paper is intended to provide the multi objective optimization for the routing in WSN for the applications of internet of things by using Genetic Algorithm (GA). The process of genetic algorithm is a heuristic approach that aims to provide the optimal route by using genetic operators such as fitness function, crossover and mutation. The provide methodology optimize the node selection method of wireless sensor nodes facing the Internet of things and the guaranteed method to avoid coverage holes. The proposed algorithm plays a significant role in selecting the control nodes by considering energy and distance parameters. The experiment was carried out on the scale of the performance matrix such as fitness value, average residual energy, etc. The simulation result of the proposed algorithm outperforms over other algorithms under the different arrangements of the network. The results will show the coverage of the area to be monitored, reduce the network energy consumption, and keep the energy consumption balanced.
Page(s):
94-94
DOI:
DOI not available
Published:
Journal: Abstract Book on International Conference on Food and Applied Sciences (ICFAS-23) 3-5 August 23, Volume: 0, Issue: 0, Year: 2023
Keywords:
Genetic Algorithm
,
Routing
,
Internet of Things
,
WSN
,
Optimization