Improving Energy Consumption of a Node in Wireless Sensor Networks
S.K. Mouleeswaran1, M.S.Nidhya2, G.G.Gokilam3
1Dr.S.K.Mouleeswaran*, Associate Professor, Department of Computer Science & Engineering, Dayanand Sagar Univesity, Bengaluru, Karnataka, India.
2Dr.M.S. Nidhya, Assistant Professor, Department of Computer Science, School of Computing Sciences, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai, India
3Dr. G.G. Gokilam, Researcher, Department of CSE, Ponnaiyah Ramajayam Institute of science and Technology, Thanjavur, Tamil Nadu India.
Manuscript received on November 11, 2019. | Revised Manuscript received on November 20 2019. | Manuscript published on 30 November, 2019. | PP: 11696-11698 | Volume-8 Issue-4, November 2019. | Retrieval Number: C6478098319/2019©BEIESP | DOI: 10.35940/ijrte.C6478.118419
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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 node in a Wireless Sensor Networks (WSN) can spend its energy by sending a packet to next node and receiving a packet from other node. A node is having a more number of neighbours. It can lose its energy very quickly when compared with less number of neighbouring nodes. That is intermediate node will always be a transceiver. Most of the time, nodes in the environment spend its energy for sending a repeated data or information. For ex: If any event occurred, single event information is passed to the sink node multiple times. Due to this repeated message, a node lost its energy by sending and receiving the packet to other node. In this paper we proposed an Energy Consumption (ECON) model that will filter the repeated message and it can save the energy of a node. This model will work efficiently in clustered network. Because of this model, the total network lifetime is also increased.
Keywords: Wireless Sensor Networks, Nodes, Energy Consumption, ECON, sink node, Cluster.
Scope of the Article: Energy Harvesting and Transfer for Wireless Sensor Networks.