Background and Objective: The functionalities of Wireless Sensor Networks (WSN)
are growing in various areas, so to handle the energy consumption of the network in an efficient
manner is a challenging task. The sensor nodes in the WSN are equipped with limited battery
power, therefore there is a need to utilize the sensor power in an efficient way. The clustering of
nodes in the network is one of the ways to handle the limited energy of nodes to enhance the lifetime
of the network for its longer working without failure.
Methods: The proposed approach is based on forming a cluster of various sensor nodes and then
selecting a sensor as a Cluster Head (CH). The heterogeneous sensor nodes are used in the proposed
approach in which sensors are provided with different energy levels. The selection of an efficient
node as CH can help in enhancing the network's lifetime. The threshold function and random
function are used to select the cluster head among various sensors for selecting the efficient
node as CH. Various performance parameters such as network lifespan, packets transferred to the
Base Station (BS) and energy consumption are used to perform the comparison between the
proposed technique and previous approaches.
Results and Discussion: To validate the working of the proposed technique, the simulation is performed
in MATLAB simulator. The proposed approach has enhanced the lifetime of the network
as compared to the existing approaches. The proposed algorithm is compared with various existing
techniques to measure its performance and effectiveness. The sensor nodes are randomly deployed
in a 100m*100m area.
Conclusion: The simulation results showed that the proposed technique had enhanced the lifespan
of the network by utilizing the node’s energy in an efficient manner and reduced the consumption
of energy for better network performance.