International Journal of Cooperative Information Systems, cilt.10, ss.1-10, 2021 (SCI-Expanded)
For any unprecedented events, Wireless Sensor networks are capable of observing and
monitoring an environment. In such a network, energy efficiency is a major challenging
aspect. As the sensor nodes are limited with a definite energy level of batteries, they are in
need of energy efficient techniques during communication to reduce energy consumption. In
some cases, energy from external environment (like solar energy) probably gets scavenged.
External energy sources show non-continuous performance which probably requires an
energy buffer (i.e., battery). Energy in any form is a very important resource and must be used
very efficiently. This research provides solution for prolonging the network lifetime with
certain energy sources and it further throws light on the ways of how to make it possible by
keeping the coverage and connectivity always. In the proposed research, energy efficient
resource management techniques are developed to prolong the energy level of sensor nodes
using the cluster method. A group of homogeneous sensor nodes forms a cluster and each
cluster is managed by the Cluster Head ( CH) where CH is selected based on the maximum
residual energy. The most important requirement of this research work is to provide an
optimized energy efficient technique in three different network situations. The proposed
Energy Efficient Clustering Mechanism (EECM) with static sink uses a predetermined
network model for data transmission by using multipath routing method for a homogeneous
network. In this system, a CH is selected based on the residual energy and availability of a
path that could connect with the static sink. This mechanism is developed to solve the energy
hole problem. From the simulation results, the proposed systems perform better in terms of
throughput and network lifetime when compared with that of LEACH and ALEACH in a
static sink environment and MODLEACH and M-GEAR in a mobile sink environment.