A Voronoi Based Coverage Enhancement for Wireless Sensor Networks
Blessington J.1, Komban B.2, Lakshmiprabha M.3, Monisha A.4, Subramanian K.5
1Blessington J.*, Department of Electronics and Communication Engineering, National Engineering College, Tamil Nadu, India.
2Komban .K, Department of Electronics and Communication Engineering, National Engineering College, Tamil Nadu, India.
3Lakshmiprabha .M, Department of Electronics and Communication Engineering, National Engineering College, Tamil Nadu,
4India. Monisha .A, Department of Electronics and Communication Engineering, National Engineering College, Tamil Nadu, India.
5Subramanian .K, Assistant Professor, National Engineering College, Kovilpatti, Tamilnadu, India.
Manuscript received on January 24, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 29, 2020. | PP: 3845-3850 | Volume-9 Issue-3, February 2020. | Retrieval Number: C6274029320/2020©BEIESP | DOI: 10.35940/ijeat.C6274.029320
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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 network which competes with the modern technologies also paves the way for research and commercial development. Mobile and static sensors form a network that balances sensor coverage and the cost of the sensor. For this a thorough study of the coverage area and mobility of mobile sensor node is necessary. Coverage in wireless networks invoke the observation of physical distance enclosed by the sensors. Voronoi diagrams are used to find out the coverage holes and design movement – assisted sensor deployment protocols, VEC that works on the principle of moving sensors whereas Voronoi based works on the basis of load balancing. The algorithms gain sensor energy stabilization and small effect of deployment energy utilization. Its effectiveness is examined in terms of coverage, uniformity, time and distance.
Keywords: Sensor deployment, Keywords: Sensor deployment, mobile sensors, voronoi diagram, energy consumption.