An Energy Efficient Scheme for Secure Data Aggregation in Cluster Based Wireless Sensor Network
Trupti Ontagodi1, G. R. Deeba Lakshmi2

1Trupti Ontagodi, M.Tech Student, Department of Electronics and Communication Engineering, Nitte Meenakshi Institute of Technology, Bangalore (Karnataka), India.
2Mrs. G. R. Deeba Lakshmi, Assistant Professor, Department of Electronics and Communication Engineering, Nitte Meenakshi Institute of Technology, Bangalore (Karnataka), India. 

Manuscript received on 20 September 2017 | Revised Manuscript received on 30 September 2017 | Manuscript published on 30 September 2017 | PP: 14-17 | Volume-6 Issue-4, September 2017 | Retrieval Number: C1696076317©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: Wireless sensing networks have obtained responsiveness throughout the world from last many years because of the progress that had been made in wireless communication. WSN devices are laptops, PDAs, mobile phone and simple sensing devices. But now the devices are in constrictions with relations like power, memory, efficiency and communication abilities because of various causes. WSN are used in saleable and manufacturing area like environment checking, habitat nursing, hospital, bank, police department as there is increase use in wireless sensing network in day to day life. In contract to this it face a lot of issues in terms of battery life time. In the proposed system we are using RSA technique for key generation and PAM for the energy Consumption. Using RSA we can authenticate it successfully and using PAM algorithm form the clusters effectively for minimizing energy consumption. In this way proposed system provides the improved performance in terms of Network throughput, energy consumption and delay.
Keywords: Wireless sensor network (WSN), Energy, PAM (partion around medoid), RSA

Scope of the Article: Wireless Access Technologies for IoT