Enhancing Energy Efficient in Fault Node Recovery for a Wireless Sensor Network

International Journal of Computer Science and Engineering

© 2015 by SSRG - IJCSE Journal

Volume 2 Issue 4

Year of Publication : 2015

Authors : S.Shanmadhi, K.Sekar, T.Dheepa

10.14445/23488387/IJCSE-V2I4P107

How to Cite?

S.Shanmadhi, K.Sekar, T.Dheepa, "Enhancing Energy Efficient in Fault Node Recovery for a Wireless Sensor Network," SSRG International Journal of Computer Science and Engineering , vol. 2,  no. 4, pp. 13-16, 2015. Crossref, https://doi.org/10.14445/23488387/IJCSE-V2I4P107

Abstract:

In Wireless Sensor Network, the sensor nodes forms a cluster and each cluster will have a cluster head. The cluster head is selected on the basis of battery level. The cluster head collect the data from the sensors and transmit the data to the sink node. Since the cluster head is transmitting more amount of data compare with other nodes, so it will drains the battery. Due to this the cluster head is losing the energy very fastly and shuts down. The battery drained cluster head is known as sensor fault. The sensor fault will leads to data loss. So, the sensor fault is re placed by using FNR algorithm. Even though, the sensor faults has been replaced; the cluster head have to transmit more data and loses its energy. To minimize the risk of sensor faults, an efficient method is used to compress the data.

Keywords:

Grade Diffusion algorithm, Genetic Algorithm, Compact Sensing Theory, Wireless Sensor Network (WSN).

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