Seybold Report ISSN: 1533-9211
K.Rubini
Ph.D., Research Scholar, Department of Computer Science, Erode Arts and Science College,Erode, drrose159@gmail.com
Dr.T.Ranganayaki
Associate Professor, Department of Computer Science, Erode Arts and Science College.Erode
ranganayakitcs@gmail.com
Vol 17, No 09 ( 2022 ) | DOI: 10.5281/zenodo.7074310 | Licensing: CC 4.0 | Pg no: 934-943 | Published on: 13-09-2022
Abstract
Network lifetime persists as a significant requirement in Wireless Sensor Network (WSN) exploited to prolong network processing. Utilizing energy efficiently can significantly increase the lifespan of wireless sensor networks. An MRFO Based Cluster Head Selection was introduced selecting the best node as cluster head based on the fitness value for enhancing the energy consumption and network lifetime. The adapted, scalable and integrated method with Adaptive Load balanced Node scheduling is proposed in this paper. Load Balanced Node scheduling is one such strategy that can prolong the lifetime of WSNs and also helps to avoid the data collision. Each sensor node in the network correctly determines its mode of operation using adaptive Kalman Filter. This Filter considers the buffer size and energy parameter of each sensor node for adaptive node scheduling. Based on these parameter, it allocates the time slots to each node. The proposed method reduces the energy consumption of the individual node effectively. It also reduces the network delay by considering the load balanced node scheduling. The simulation is demonstrated that the proposed scheme is effective compared with existing scheduling scheme in terms of end-to-end delay, energy efficiency and Packet delivery Ratio, Packet Loss Ratio.
Keywords:
Scheduling, Load, Collision, Buffer , Cluster