In wireless sensor network (WSN), energy efficiency is a one of the important consequence in smart space and extreme environments and it has a vast variety of applications. The cluster head based communication protocols play an important role for energy saving in hierarchical WSN. In most of the clustering algorithms, a cluster head (CH) will transmit a data to the sink node. This type of technique has become a traditional way to optimize energy in WSN. This paper proposes a new Synchronous transit algorithm named Ridge Method Cluster head Selection (RMCHS), which selects efficient cluster heads (CHs) to the sensor network. To consider uniformity of CHs to balance clusters, RMCHS uses a new Synchronous transit algorithm. Comparisons with well know LEACH protocols, it show's obvious better performance of RMCHS in term of residual energy, throughput, alive nodes and dead nodes. © 2015 IEEE.

Shankar T

Department of Communication Engineering

School of Electronics Engineering

Vellore Campus

Prasath K.A

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

RMCHS: Ridge method based cluster head selection for energy efficient clustering hierarchy protocol in WSN

2015 International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM)

Energy efficiency is a major concern in wireless sensor networks as the sensor nodes are battery-operated devices. For energy efficient data transmission, clustering based techniques are implemented through data aggregation so as to balance the energy consumption among the sensor nodes of the network. The existing clustering techniques make use of distinct Low-Energy Adaptive Clustering Hierarchy (LEACH), Harmony Search Algorithm (HSA) and Particle Swarm Optimization (PSO) algorithms. However, individually, these algorithms have exploration-exploitation tradeoff (PSO) and local search (HSA) constraint. In order to obtain a global search with faster convergence, a hybrid of HSA and PSO algorithm is proposed for energy efficient cluster head selection. The proposed algorithm exhibits high search efficiency of HSA and dynamic capability of PSO that improves the lifetime of sensor nodes. The performance of the hybrid algorithm is evaluated using the number of alive nodes, number of dead nodes, throughput and residual energy. The proposed hybrid HSA–PSO algorithm shows an improvement in residual energy and throughput by 83.89% and 29.00%, respectively, than the PSO algorithm. © 2016 Elsevier B.V.

Swarm and Evolutionary Computation

Hybrid HSA and PSO algorithm for energy efficient cluster head selection in wireless sensor networks

International Journal of Advanced Intelligence Paradigms

Energy Efficient Cluster Head Selection for Wireless Sensor Network by Improved Firefly Optimization

IEEE Sensors Journal

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

Journal of Network and Computer Applications

Clustering in sensor networks: A literature survey

2013 10th IEEE International Conference on Control and Automation (ICCA)

An energy-efficient clustering algorithm for wireless sensor networks

Journal	Data powered by Typeset2015 International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM)
Publisher	Data powered by TypesetIEEE
Open Access	No