Neural Network Enabled WSN Management for Energy Efficient Routing Mechanism

Nilayam Kumar Kamila; Sunil Dhal   and Bhagirathi Nayak

doi:10.17485/ijst/2016/v9i26/89824

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Neural Network Enabled WSN Management for Energy Efficient Routing Mechanism

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2016/v9i26/89824

Year: 2016, Volume: 9, Issue: 26, Pages: 1-10

Original Article

Neural Network Enabled WSN Management for Energy Efficient Routing Mechanism

Nilayam Kumar Kamila^{1 *}, Sunil Dhal ² and Bhagirathi Nayak²

¹ Capital One, Wilmington, [email protected]
²Sri Sri University, [email protected]
[email protected]
*Author for correspondence
Nilayam Kumar Kamila
Capital One, Wilmington,
Email: [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Background/Objectives: To design a model for Wireless Sensor Network which manage the routing mechanism efficiently and reduce the power consumption during packet routing. Methods: Neural Network Approach e.g. Self-Organized Map and K-Means Algorithms used for cluster selection and election to improve the energy efficiency. Findings: Neural Networks algorithms in combination of cluster head load sharing and self-silence model provides a better performance than the existing Wireless Sensor Network routing protocols. Improvements/Applications: This design approach can be further enhanced through Fuzzy based neural network model.
Keywords: Network, Neural WSN Routing, Reverse Transmission, Sensor Network, Sensor Cluster,