Parametric Assay of Energy Adept Clustering Protocols for Het-Net Wireless Sensor Networks
Ridhi Kapoor1, Sandeep Sharma2
1Ms. Ridhi Kapoor, Department of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, India.
2Dr. Sandeep Sharma, Department of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, India.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 2146-2155 | Volume-8 Issue-12, October 2019. | Retrieval Number: L29321081219/2019©BEIESP | DOI: 10.35940/ijitee.L2932.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With the receptiveness in Micro-Electro-Mechanical-System (MEMS), workgroup computing, as well as wireless information computing have facilitated heterogeneous wireless sensor networks (Het-Net) as rapidly growing technological era. Thus, to incorporate such applications the WSNs must be energy adept so as to have increased Network Lifespan, Shrunk Network Costs Using Clustering, Compressive Sensing, and Data Fusion (Aggregation) & Efficient Routing Protocols over Spatially Disseminated Sensing Nodes. The sensor nodes have confined sensing, processing, and communication potentialities, due to constrained battery life, and in most of the scenarios, it is almost unfeasible to outplace the sensors during complete energy dissipation. Therefore, energy preservation is the major need of WSN existence. In this paper we have done the extensive analysis of the numerous parameters like network lifetime, number of Super Nodes (cluster heads) at each iteration, number of viable nodes per iteration, throughput, inter-cluster topology, type of heterogeneity, level of heterogeneity, etc. which in turn are directly proportional to Network Operational cost.
Keywords: Clustering, Data Fusion, Het-Net Wireless Sensor Network; Lifetime, Sensing Motes, Stability Region, Steady and Unsteady Clustering.
Scope of the Article: Clustering