Cluster Head Selection Using Gradient Descent Algorithm for Wireless Sensor Network

Authors

  • Shilpa Mohindra ME student
  • Kanika Sharma Assistant professor Electronics and Communication Department National Institute of Technical Teacher’s Training & Research, Chandigarh

Keywords:

WSN, Gradient Descent, Threshold, Clustering.

Abstract

Wireless Sensor Network (WSN) consists of large number of small size sensor nodes having limited battery and power resources. They are used in various applications like health care, military, home and environmental sensing for real time operations. Energy efficiency and network lifetime are main concern of WSN. Clustering is one of most efficient routing algorithm to solve issues of network. Selection of cluster head is one of the main concerns for WSN. Different algorithms have been proposed to find best-suited cluster head with low energy consumption. In this paper, Gradient Descent approach has been used and is compared with modified LEACH. MATLAB 2015a simulation results show improvement in terms of number of dead nodes, optimal number of cluster head and number of packets transmitted to base station.

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Published

2018-09-10

How to Cite

Mohindra, S. ., & Sharma, K. . (2018). Cluster Head Selection Using Gradient Descent Algorithm for Wireless Sensor Network. International Journal of Technical Innovation in Modern Engineering & Science, 4(9), 62–69. Retrieved from https://ijtimes.com/index.php/ijtimes/article/view/456

Issue

Vol. 4 No. 9 (2018): Vol. 4 No. 9: Volume 4 Issue 9 (September-2018)

Section

Articles