Designing an Energy Efficient Network Using Integration of KSOM, ANN and Data Fusion Techniques

Main Article Content

Pooja Singh
Vikas Pareek, Anil K Ahlawat


Energy in a wireless sensor network (WSN) is rendered as the major constraint that affects the overall feasibility and performance of a network. With the dynamic and demanding requirements of diverse applications, the need for an energy efficient network persists. Therefore, this paper proposes a mechanism for optimizing the energy consumption in WSN through the integration of artificial neural networks (ANN) and Kohonen self-organizing map (KSOM) techniques. The clusters are formed and re-located after iteration for effective distribution of energy and reduction of energy depletion at individual nodes. Furthermore, back propagation algorithm is used as a supervised learning method for optimizing the approach and reducing the loss function. The simulation results show the effectiveness of the proposed energy efficient network.

Article Details

How to Cite
Singh, P., & Anil K Ahlawat, V. P. (2022). Designing an Energy Efficient Network Using Integration of KSOM, ANN and Data Fusion Techniques. International Journal of Communication Networks and Information Security (IJCNIS), 9(3). (Original work published December 11, 2017)
Research Articles
Author Biography

Pooja Singh, Amity School of Engineering & Technology

Pooja Singh is pursuing Ph.D. in Computer Science & Engineering Dept; from Banastahli Vidyapith, Rajasthan, India. she is also working as Assistant Professor since 2008 with the Department of Computer Science and Information Technology, with the Amity School of Engineering and Technology, Affiliated by GSSIPU, New Delhi. India. she has more than 8 years of teaching experience. She received the B.Tech(I.T)  degree from purvanchal university & M.Tech (C.S.E) degree from Banasthali vidhyapith.