Distributed Clustering Based on Node Density and Distance in Wireless Sensor Networks
Abstract: Wireless Sensor
Networks (WSNs) are special type of network with sensing and monitoring the
physical parameters with the property of autonomous in nature. To implement
this autonomy and network management the common method used is hierarchical
clustering. Hierarchical clustering helps for ease access to data collection
and forwarding the same to the base station. The proposed Distributed
Self-organizing Load Balancing Clustering Algorithm (DSLBCA) for WSNs designed
considering the parameters of neighbor distance, residual energy, and node
density. The validity of the DSLBCA has
been shown by comparing the network lifetime and energy dissipation with Low
Energy Adaptive Clustering Hierarchy (LEACH), and Hybrid Energy Efficient
Distributed Clustering (HEED). The proposed algorithm shows improved result in
enhancing the life time of the network in both stationary and mobile
environment.
Author: Sasikumar P, Shankar
T, Sibaram Khara
Journal Code: jptkomputergg160210
