A Novel Heterogeneous Clustering Protocol for Lifetime Maximization of Wireless Sensor Network
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A Novel Heterogeneous Clustering Protocol for Lifetime Maximization of Wireless Sensor Network Piyush Rawat1 · Siddhartha Chauhan1 · Rahul Priyadarshi2 Accepted: 29 October 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract The network lifetime of Wireless Sensor Network (WSN) is one of the most challenging issues for any network protocol. The nodes in the network are densely deployed and are provided with limited power supply. The routing strategy is treated as an effective solution to improve the lifetime of the network. The cluster based routing techniques are used in the WSN to enhance the network lifespan and to minimize the energy consumption of the network. In this paper, an energy efficient heterogeneous clustering protocol for the enhancement of the network lifetime is proposed. The proposed protocol uses the sensor energy for the clustering process in a well-organized manner to maximize the lifetime of network. The MATLAB simulator is used for implementing the clustering model of proposed protocol and for measuring the effectiveness of the proposed technique the comparison is performed with the various existing approaches such as Stability Election Protocol, Distributed Energy Efficient Clustering and Adaptive Threshold Energy Efficient cross layer based Routing. Keywords WSN · Cluster head · Energy · Sensor · Routing · Network
1 Introduction Wireless Sensor Network (WSN) consists of a vast quantity of battery powered sensor nodes which are provided with limited resources that convert sensed readings into electrical signals for further processing. The WSN does not follow any type of infrastructure and the sensors are disseminated in an ad-hoc manner [1]. The sensors have the * Piyush Rawat [email protected] Siddhartha Chauhan [email protected] Rahul Priyadarshi [email protected] 1
Department of Computer Science and Engineering, National Institute of Technology, Hamirpur, H.P, India
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Department of Electronics and Communication Engineering, National Institute of Technology, Patna, Bihar, India
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self-configuring capability and they communicate with each other by means of wireless signals. The nodes communicate using the direct or multi-hop connection depending upon their distance with each other. Each sensor node comprises of four subsystems viz., sensing subsystem, communication subsystem, computing subsystem and power supply subsystem. The data processing is performed by the computing subsystem which executes the different protocols in different modes such as receive, transmit, idle and sleep mode. The battery power of sensor is spent in performing sensing and communication activities in the network and most of the network energy is disbursed in communication tasks [2]. The energy to the sensors is provided with a power supplied battery which is managed by the power supply subsystem. It is better to shut down the battery of the node, when not in use. The data from the environment is sensed by the sensors in form
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