Reckoning Network Lifetime Ratio for Wireless Sensor Network
Mohamed Najmus Saqhib1, Lakshmikanth .S2
1Mohamed Najmus Saqhib, Research Scholar VTU Belgavi, Research Centre is Department of Electronics and Communication, Vivekananda Institute of Technology, Bangalore, India.
2Dr Lakshmikanth .S, Associate Professor, Department of Electronics and Communication Engineering, Acharya Institute of Technology, Bangalore, India.
Manuscript received on 25 August 2019. | Revised Manuscript received on 03 September 2019. | Manuscript published on 30 September 2019. | PP: 2238-2247 | Volume-8 Issue-11, September 2019. | Retrieval Number: K20520981119/2019©BEIESP | DOI: 10.35940/ijitee.K2052.0981119
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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: Advanced Technologies such as Internet of Things, Machine Networking give rise to the deployment of autonomous Wireless Sensor Nodes. They are used for various domains namely battlefield monitoring, enemy detection and monitoring the environment change. These Wireless Sensor Nodes have the properties of low cost and high battery life. NL (Network Lifetime) is an important phase of Wireless Sensor Network (WSNs), in which the nodes can maintain sensing for a more amount of time. NL can be improved by use of multiple techniques namely Opportunistic Transmission, Scheduling of Timed Data Packets, Clustering of Nodes, Energy Harvesting and Connectivity. This paper provides the energy consumption computation, life time ratio definition and the overview of NL improvement techniques. The paper also presents brief review of the Destination based and Source based routing algorithm.
Keywords: Energy Harvesting, Lifetime Ratio, Wireless Sensor Network, Network Lifetime, Beam forming
Scope of the Article: Energy Harvesting and Transfer for Wireless Sensor Networks