National Conference on Latest Initiatives and Innovations in Communication and Electronics |
Foundation of Computer Science USA |
IICE2016 - Number 2 |
February 2017 |
Authors: Amandeep Kaur, Mandeep Kaur |
554cc4b1-2195-4737-9515-875b6e60bb0f |
Amandeep Kaur, Mandeep Kaur . A Review Paper on Energy Consumption and Reliability of WSN using Genetic Algorithm and MR-PSO. National Conference on Latest Initiatives and Innovations in Communication and Electronics. IICE2016, 2 (February 2017), 6-9.
Wireless sensor network are produced without using a fixed network infrastructure with the help of small sensor nodes communicating over wireless links. Wireless sensor network (WSN) is a group of three kinds of nodes: sensor node, and sink node, etc . Energy sources and communication is performed via wireless medium and every node has a limited processing capability. In this paper, Genetic Algorithm (GA) and MR- PSO is proposed to optimize sensor nodes' energy consumption. The most important is the clustering technique as an efficient way for reducing consumption of energy of a sensor node as well as the transmission cost. Multi-objective algorithm is also used which makes an optimal number of sensor-clusters with cluster-heads and reduces the transmission cost. The components are also used and the average fitness of the system is evaluated.