Research Area:  Wireless Sensor Networks

Abstract:

Wireless Sensor Network (WSN) is very effective for research community in recent years in demand and adaptive applications. The nodes of WSN are limited with their energy which requires the energy to be utilized in efficient manner. The factor of energy depletion would be reduced by grouping the nodes to support routing and data collection. Different algorithms recommended towards the energy management in different conditions. This research work proposes an Energy Efficient Cluster based Multilevel Hierarchical Routing (EECMHR) technique to support effective data collection in WSN. The method splits the entire network region into number of regions and clusters where each cluster has single Cluster Head (CH). The nodes of WSN are grouped in hierarchical level which performs routing through the CH identified which is rotated at each timestamp according to energy conditions. EECMHR approach has been simulated by using the Network Simulator 2 under different scenarios, and its performance is compared with existing clustering algorithms.

Keywords:  

Author(s) Name:   K. Kumaresan & S. Nithya Kalyani

Publisher name:  Springer

DOI:  10.1007/s12652-020-01700-0

Volume Information:  volume 12, pages 3821–3830 (2021)

Paper Link:   https://link.springer.com/article/10.1007/s12652-020-01700-0