A Customised Approach for Reducing Energy Consumption in Wireless Sensor Network
Krishnapriya K M1, Santosh Anand2, Somnath Sinha3

1Krishnapriya K M, Computer Sciences, Amrita Vishwavidyapeetham, Mysuru, (Karnataka), India.
2Santosh Anandh, Computer Sciences, Amrita Vishwavidyapeetham, Mysuru, (Karnataka), India.
3Somnath Sinha, Computer Sciences, Amrita Vishwavidyapeetham, Mysuru, (Karnataka), India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 1427-1431 | Volume-8 Issue-8, June 2019 | Retrieval Number: H7510068819/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Abstract—Wireless sensor Networks are often used for monitoring and sensing the various environmental conditions. is collection of sensor nodes which are provided with a fixed battery. Millions of sensor nodes are scattered to monitor smart grids, which consume huge amount of energy. In Wireless sensor network energy wastage is more due to high latency and in-network processing. The only way to enhance the lifetime of the sensor is to reduce the power consumption and support good scalability and collision avoidance. To minimize the energy consumption of the nodes that appropriate algorithm has to be used to make node communicative. Major research challenges of WSN are network lifetime, fault tolerance, power consumption. Therefore, there is a need of establishment of energy efficient protocol. This work proposes a customized approach to optimize the energy consumption in wireless sensor network using k-means clustering algorithm and back propagation algorithm.
Keyword: Wireless Sensor Network, Clustering, Kmeans, Back propagation, Error rate, Energy Consumption.
Scope of the Article: Sensor Networks, Actuators for Internet of Things.