Open AccessSoft Computing Strategies for Optimized Route Selection in Wireless Sensor Network
Author(s) -
Wang Haoxiang,
S. Smys
Publication year - 2020
Publication title -
journal of soft computing paradigm
Language(s) - English
Resource type - Journals
ISSN - 2582-2640
DOI - 10.36548/jscp.2020.1.001
Subject(s) - computer science , wireless sensor network , ant colony optimization algorithms , computer network , distributed computing , packet forwarding , network packet , particle swarm optimization , artificial intelligence , algorithm
The routing in the wireless sensor networks has significant part in enhancing the functioning of the network as the improper routing methodologies and the routing deteriorates the energy of the sensor networks, affecting the lifespan of the network, leading to link failures and the connectivity problems. The necessity to improve the network performance is the main focus of the paper, so the paper presents the performance analysis of the evolutionary algorithms such as Genetic Algorithm, Ant lion optimization, Particle swarm optimization and Ant colony optimization and evaluates the routes obtained using the fuzzy Petri Net model, to find out the optimal route for the wireless sensor networks. The simulation through the python in terms of the some resource validates the optimal path in terms of energy, network life time and the packet delivery ratio.