An Efficient Clustering Algorithm for Big Data Gathering in Large Scale Wireless Sensor Networks (LS-WSNs)
Quosain Jawhar1, Khushal Thakur2, Kiran Jot Singh3
1Quosain Jawhar, Department of Electronics & Communication Engineering, me, Chandigarh University, Mohali (Punjab) India.
2Khushal Thakur, Assistant Professor, Department of Electronics & Communication Engineering, me, Chandigarh University, Mohali (Punjab) India.
3Kiran Jot Singh, Assistant Professor, Department of Electronics & Communication Engineering, me, Chandigarh University, Mohali (Punjab) India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 1500-1505 | Volume-8 Issue-7, May 2019 | Retrieval Number: G6118058719/19©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 tremendous development in communication technology has led to the rise of a new topic called Big Data. Large Scale Wireless Sensor Network (LS-WSN) is one of the key contributors to big data that produce a remarkable amount of data. Data collection pose a number of challenges to Wireless Sensor Networks (WSNs). To overcome these challenges various energy efficient routing algorithms are proposed. An energy efficient algorithm is proposed in this paper for LS-WSNs. The establishment of clustering communication is based on the remaining energy of sensor nodes and distance among them. In the proposed technique, network lifetime is evaluated and enhanced. Utilizing the concept of density-based clustering communication, network lifetime is enhanced and hence minimized energy consumption. Simulation results indicate that the proposed approach enhanced the network lifetime and can be a useful approach for WSNs in military applications. The efficacy of proposed technique is demonstrated via experimental results in terms of network lifetime acquired in MATLAB.
Keyword: Wireless Sensor Networks (WSNs), Big Data, Energy Efficiency, Clustering, Network Lifetime.
Scope of the Article: Clustering.