Abstract
Objectives: To eliminate hot spot problem and achieve uniform load distribution among many cluster heads (CHs), we propose a cluster based reactive (CBR) algorithm with threshold based data transmission. Methods/Statistical Analysis: This study achieves innovation through the incorporation to two phases namely cluster head selection using the vote-based measure as well as transmission power of sensor nodes and reactive data transmission. In reactive data transmission, the sensor node sends data only while the sensed value exceeds the threshold value. Findings: A series of experiments are carried out to validate the goodness of the CBR algorithm in terms of energy utilization and network lifetime. From the experimental results, it is absolute that network lifetime of the proposed method is increased by 55.72% and the energy consumption is reduced to 50% when compared to LEACH. Application/Improvements: The proposed method can be implemented in real time WSN. Keywords: Clustering, Network Lifetime, Reactive Protocol, WSN
Highlights
A Wireless Sensor Network (WSN) includes a group of little sized, low energy sensor nodes with the ability to detect and transmit the physical phenomenon to base station (BS)[1]
The projected cluster based reactive (CBR) algorithm is implemented in MATLAB R2014a
The proposed method is validated by comparing its results with the LEACH protocol
Summary
A Wireless Sensor Network (WSN) includes a group of little sized, low energy sensor nodes with the ability to detect and transmit the physical phenomenon to base station (BS)[1]. It finds useful in various areas like border surveillance, power plants, industries, environmental monitoring, industrial automation and so on[2]. In contrast to conventional wired systems, the deployment cost of WSN is very low. The WSN has the capability for adapting with the varying environmental conditions[3]. The sensor node includes four main components namely sensor module, processor module, power supply and communication module. The sensor module converts the sensed data to electrical form where each node forwards the sensed data to BS through intermediate sensor nodes
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