A Reliable Energy Efficient Data Aggregation Algorithm for Wireless Sensor Network
Sudha R1, Sasikala N2, Senthil Kumar P3, Jeganathan J4
1Sudha R, Assistant Professor, Department of IT, PSNA College of Engineering & Technology, India.
2Sasikala N, Assistant Professor, Department of IT, PSNA College of Engineering & Technology, India.
3Senthil Kumar P, Assistant Professor, Department of IT, PSNA College of Engineering & Technology, India.
4Jeganathan J, Assistant Professor, Department of IT, PSNA College of Engineering & Technology, India.
Manuscript received on June 21, 2020. | Revised Manuscript received on July 03, 2020. | Manuscript published on July 10, 2020. | PP: 686-691 | Volume-9 Issue-9, July 2020 | Retrieval Number: 100.1/ijitee.J74290891020 | DOI: 10.35940/ijitee.J7429.079920
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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: One of the popular and emerging networks is wireless sensor networks (WSN), where it comprises of an unlimited number of sensors deployed dynamically and irregularly in a geolocation, for a specific purpose. Each sensor node in the network sense, collect and transmit the environmental data from one location to other location. All the nodes have the capabilities of transmitting and receiving the documents. The major problem in WSN is energy efficiency and network lifetime. By reducing the energy consumption, the network life time can be increased. Clustering, scheduling and other related methods are used to reduce the energy consumption, during the data transmission and receiving. This paper proposed a Reliable Energy Efficient Data Aggregation (REEDA) method for improving the energy efficiency. All the common nodes or the cluster head nodes gather, aggregate, and transmit the data where it reduces the energy consumption. The aggregation method is applied according to correlation of data packets generated by entire node. Simulations results prove that the proposed algorithm provides a good solution for minimizing communication and computation cost.
Keywords: Energy consumption, Data aggregation, Communication cost, Wireless Sensor Network.
Scope of the Article: Wireless Sensor Network