Reliable and Energy Efficient Data Gathering Protocol in Wireless Sensor Networks
P. Balamurugan1, J. Santhosh2, G. Arulkumaran3
1P. Balamurugan, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai (Tamil Nadu), India.
2J. Santhosh, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai (Tamil Nadu), India.
3G. Arulkumaran, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 05 February 2019 | Revised Manuscript received on 18 February 2019 | Manuscript Published on 04 March 2019 | PP: 114-119 | Volume-7 Issue-5S2 January 2019 | Retrieval Number: ES2015017519/19©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: A sensor network is a set of small autonomous systems, called sensor nodes which co-operate to solve at least one common problem. Sensor nodes in Wireless Sensor Networks (WSN) are generally used to collect, aggregate and communicate the fused data to the Base Station (BS). In sensor networks, the nodes are having the limited energy which is one of the most critical issues in WSN. The energy gets reducing when the nodes are collecting information. So data gathering is required to be efficient, adaptive and robust. The paper provides solution for the energy issues by developing the energy efficient data gathering algorithm called Mark Based Data Gathering (MBDG) algorithm, which proposes to minimize the energy and delay in the process of gathering and communicating the fused data the BS in WSN. The proposed algorithm is compared with existing algorithms namely LEACH, PEGASIS, EMLN-DG and GBE-DG. The result shows that the proposed algorithm considerably improves network lifetime, reducing delay and energy consumption compared with existing algorithms.
Keywords: Energy, Delay, lifetime, WSN, Mark and Algorithm.
Scope of the Article: Wireless ad hoc & Sensor Networks