Self-Configurable Deployment Strategy for Wireless Sensor Network
Umesh M. Kulkarni1, Harish H. Kenchannavar2, Umakant P. Kulkarni3
1Umesh M. Kulkarni, Department of CSE, KLS’s Gogte Institute of Technology, Belagavi (Karnataka), India.
2Harish H. Kenchannavar, Department of CSE, KLS’s Gogte Institute of Technology, Belagavi (Karnataka), India.
3Umakant P. Kulkarni, Department of CSE, SDM college of Engineering and Technology, Dharwad (Karnataka), India.
Manuscript received on 24 March 2019 | Revised Manuscript received on 03 April 2019 | Manuscript Published on 27 April 2019 | PP: 22-26 | Volume-7 Issue-6S2 April 2019 | Retrieval Number: F10050476S219/2019©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: Wireless Sensor Networks (WSN) is becoming a crucial component of most of the fields of engineering. WSN applications are constrained by the availability of power hence; conserving energy in a sensor network becomes a major challenge. Literature survey shows that node deployments can have good impact on energy conservation. Works show that self-adaptable nodes can significantly save energy as compared to other types of deployment. This work uses the concept of self-configuration of nodes to conserve energy in a WSN. A deployment strategy driven by some dynamic decision making capability can boost the overall performance of a WSN. The work presents an analysis of three types of deployments: like keeping all nodes fixed, all node moving and high energy nodes moving with respect to throughput, delay and energy consumption. Experimental results show that self-configured high energy node moving deployment gives 20% better throughput and 6% better energy conservation than other deployment strategies with respect to energy conservation and number of packets transmitted.
Keywords: Wireless Sensor Network(WSN), Deployment Strategy, Self Configuration.
Scope of the Article: Wireless ad hoc & Sensor Networks