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An Energy Efficient Data Aggregation Technique Using Multi-Sink Infrastructure in Heterogeneous Wireless Sensor Network
S Anuradha1, D Sreenivasa Rao2

1S Anuradha, Department of Engineering and Communication Engineering, JNTUH, Hyderabad (Telangana), India.
2Dr. D. Sreenivasa Rao, Department of Engineering and Communication Engineering, JNTUHCEH, Hyderabad (Telangana), India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 07 June 2019 | Manuscript published on 30 June 2019 | PP: 2389-2394 | Volume-8 Issue-8, June 2019 | Retrieval Number: H7344068819/19©BEIESP
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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: The energy consumption of sensors adjacent to sink or upon critical paths remains excessively fast along with additional drawbacks in wireless sensor networks using single sink node. Therefore, we propose Energy-efficient secondary level base station (EE-SLB) based data aggregation in wireless sensor network. Multi-sink infrastructure permits sensor nodes for choosing various sink nodes with respect to their individual situation compared to single-sink topology. As a result, the usual transmission distance amid sensor nodes as well as sink nodes may be decreased. The benefits of dispersion, stability as well as robustness are given by the deployment of multi-sink nodes.
Keywords: Wireless Sensor Networks, Clustering, TDMA, Network Code Method, Energy level routing, Secondary Level base Station, Mobile Agent, Data Aggregation, Data integrity.

Scope of the Article: Energy Harvesting and Transfer for Wireless Sensor Networks