Stability-aware Energy Efficient Clustering Protocol in WSN using Opposition-based Elephant Herding Optimisation

Abstract

The main intent of this paper is to implement the stability-aware energy-efficient clustering protocol in WSN. This paper plans to derive a multi-objective function with the constraints like energy, distance, delay, stability period, and intents to attain the objective by developing a new well-performing meta-heuristic algorithm called Opposition-based Elephant Herding Optimisation (O-EHO). The objective function diminishes the energy consumption of sensor nodes by optimum selection of cluster heads that leads to maintain the energy balance between the normal nodes. In this way, there is a remarkable enhancement in the performance parameters such as throughput, stability period, and network lifetime. It is proved that the network lifetime is enhanced by the stability period and thus it is considered as the most significant parameter. The experimental analysis proves the competitive performance of the proposed model over other heuristic methods.

KEYWORDS:

• Wireless sensor network
• network stability
• energy
• delay
• clustering
• cluster head selection
• fitness updated elephant herding optimisation
• multi-objective function

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Y. Alekya Rani

Y. Alekya Rani is an Assistant Professor in the department of Software Engineering in Jig-Jiga University, Ethiopia. I am currently pursuing Ph.D degree in Acharya Nagarjuna University, Guntur. I am graduated from JNTU, Hyderabad in 2008 and received master’s degree in C.S.E from JNTU, Hyderabad. I have presented many papers in international Journals/Conferences. I have supervised many students at M.tech and B.Tech level. My interested areas are: Computer Networking; Data Mining; Guide.

E. Sreenivasa Reddy

E. Sreenivasa Reddy is a Prof. & Dean in Department of Computer Science Engineering in Acharya Nagarjuna University, Guntur. He completed his PhD in Acharya Nagarjuna University. He presented many papers in SCI & Scopus and International Journals/Conferences. He supervised many students at PhD, M.tech and B.tech Level. His areas of interest are Digital Image Processing; Pattern Recognition