[01] Vinod Kumar Verma, Department of Computer Science and Engineering, Sant Longowal Institute of Engineering and Technology, (SLIET), Deemed University, Punjab, India. [02] Umabharati Rawat, Department of Computer Science and Engineering, Sant Longowal Institute of Engineering and Technology, (SLIET), Deemed University, Punjab, India.

Wireless sensor networks technology has become a vast field of research due to its wider sphere impacting our daily lives. This paper presents elementary work to address network load effect over energy efficiency through heterogeneous distributed energy efficient routing protocols. Since clustering is one of the major factors for energy optimization in routing protocols. So, we focus our research work on clustering based heterogeneous routing protocols for comparative analysis in wireless sensor networks. We included network workload scaling metric to address performance based aspects. Moreover, performance evaluation metrics for energy consumption like dead node count, alive node count, throughput, and cluster-head count are also evaluated. Finally, simulation analysis has been done to prove validity of our proposal. This work seems to be a bench mark for wireless sensor network system designer towards distributed energy efficient routing protocols.

Clustering, Count, Heterogeneity, Node, Routing Protocol, Scalability, WSN

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