Appropriate cluster head selection process in hierarchical cluster based routing algorithms is vital to make the wireless sensor networks energy efficient. This paper suggests a hybrid cluster head selection method with the parameters Location centrality and Nodes' lingering energy on the fixed clusters. The simulation outcome illustrates that the proposed algorithm is good at load balancing with very low control overhead and extending network lifetime compared to conventional routing algorithm Low-Energy Adaptive Clustering Hierarchy (LEACH). © 2016 IEEE.

Venkata Lakshmi Narayana K

Department of Instrumentation

School of Electrical Engineering

Vellore Campus

Yuvaraj P

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

EESCA: Energy efficient structured clustering algorithm for wireless sensor networks

2016 International Conference on Computing, Analytics and Security Trends (CAST)

Wireless sensor networks (WSNs) have wide applications in environmental monitoring fields. Many algorithms were proposed for efficient information gathering. Especially the cluster based routing schemes are getting attention due to their energy efficiency. But in most of the clustering schemes, the base station (BS) which is used to gather the information is assumed to be located far from the field. In this paper, we analyzed the impact of BS location on the energy efficiency of the network. The proposed location improves the first node die (FND) by 20%, 14%, and 17%, improves the last node die (LND) by 16%, 13% and 39% in uniformly distributed field, improves FND by 16%, 14%, and 15%, improves LND by 6%, 12%, and 58% in randomly distributed field compared to the famous low energy adaptive clustering hierarchy (LEACH) algorithm, Energy based algorithm (ENERGY), and the recent algorithm energy efficient structured clustering algorithm (EESCA) respectively. © 2017 IEEE.

2017 International conference on Microelectronic Devices, Circuits and Systems (ICMDCS)

Impact of base station location in clustering schemes of WSN

IEEE Sensors Journal

On Real-Time Performance Evaluation of Volcano-Monitoring Systems With Wireless Sensor Networks

AEU - International Journal of Electronics and Communications

A decentralized energy efficient hierarchical cluster-based routing algorithm for wireless sensor networks

SEECH: Scalable Energy Efficient Clustering Hierarchy Protocol in Wireless Sensor Networks

Journal of Network and Computer Applications

Clustering in sensor networks: A literature survey

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Underwater sensor networks: applications, advances and challenges

Journal	Data powered by Typeset2016 International Conference on Computing, Analytics and Security Trends (CAST)
Publisher	Data powered by TypesetIEEE
Open Access	0