Three level heterogeneous clustering protocol for wireless sensor network
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TECHNICAL PAPER
Three level heterogeneous clustering protocol for wireless sensor network Rahul Priyadarshi1
•
Piyush Rawat2 • Vijay Nath3 • Bibhudendra Acharya4 • N. Shylashree5
Received: 3 May 2020 / Accepted: 7 May 2020 Ó Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract The restricted battery of the sensors has always been a bottleneck for the WSNs. To withstand the network life for a elongated period, the network can be partitioned into clusters. To boost the network routine, a three-level heterogeneous clustering procedure is proposed in this paper. The three levels of heterogeneity split the sensors into three diverse groups using their energies. The proposed protocol picks the most competent nodes as cluster head (CH) by utilizing the threshold and energy factors. The competent picking of CH helps in uplifting the performance of the whole network routine and improves the functioning of the network. The proposed scheme is simulated using the MATLAB simulator and the results are contrasted with the conventional approaches to illustrate the advantages of proposed protocol over other techniques.
1 Introduction A WSN entails of a huge quantity of tiny, little power and cost, spatially distributed, communicating nodes (Ramar and Rubasoundar 2015; Tan and Ko¨rpeogˇlu 2003; Kumar
& Rahul Priyadarshi [email protected] Piyush Rawat [email protected] Vijay Nath [email protected] Bibhudendra Acharya [email protected] N. Shylashree [email protected] 1
Department of Electronics and Communication Engineering, National Institute of Technology, Patna, Patna, Bihar, India
2
Department of Computer Science and Engineering, National Institute of Technology, Hamirpur, Hamirpur, H.P., India
3
Department of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, Ranchi, JH 835215, India
4
Department of Electronics and Communication Engineering, National Institute of Technology, Raipur, Raipur, CG 492010, India
5
Department of Electronics and Communication Engineering, Rashtreeya Vidyalaya College of Engineering, Bengaluru 560059, India
and Rajkumar 2014; Ali et al. 2019; Marappan and Rodrigues 2016; Goyal and Tripathy 2012; Zytoune et al. 2010; Kia and Hassanzadeh 2019; Al-Karaki and Kamal 2004). These sensor nodes are connected wirelessly, selforganize themselves, and cooperate to perform applicationoriented tasks (Priyadarshi et al. 2010, 2017, 2020; Rawat and Chauhan 2018a, b). Broadly, a WSN comprises of three subsystems, namely sensing, processing, and communication (Panag and Dhillon 2018; Hani and Ijjeh 2013; Singh et al. 2017; Aderohunmu and Deng 2009;Priyadarshi et al. 2018). In the sensing subsystem, sensor nodes acquire the data by sensing the physical constraints such as, pressure, temperature, and humidity, etc. Analog to Digital Converter (ADC) converts the sensed analog signal (data) into a digital signal and passes it to the processing subsystem. In addition to this, the sensing sub
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