An approach to solve the target coverage problem by efficient deployment and scheduling of sensor nodes in WSN

Devesh Pratap Singh () and Bhaskar Pant ()
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Devesh Pratap Singh: Graphic Era University
Bhaskar Pant: Graphic Era University

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 2, No 24, 493-514

Abstract: Abstract Network lifetime play a vital role in setting up an energy efficient wireless sensor network. The lifetime of the network can be improved by efficient deployment and scheduling of the sensor nodes inside the network. In this paper, on the basis of mathematically calculated upper bound lifetime of the network, the sensor nodes are efficiently deployed by using Simulated Annealing and Particle Swarm Optimization with pre-specified sensing range of the sensor nodes and on the second fold the sensor nodes are efficiently scheduled by applying the Simulated Annealing and Dempster Shafer Theory. The overall objective of this paper is to find the optimized location and schedule for sensor nodes. The comparative study shows that the simulated annealing and particle swarm optimization algorithms performs better for sensors deployment. Simulated annealing and Dempster Shafer theory achieves the goal to provide the different schedules with high efficiency.

Keywords: Coverage; Simulated annealing; Dempster Shafer theory; WSN (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s13198-016-0457-8

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