By Topic

Coverage Maximization and Energy Conservation for Mobile Wireless Sensor Networks: A Two Phase Particle Swarm Optimization Algorithm

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Aziz, N.A.A. ; Fac. of Eng. & Technol., Multimedia Univ., Ayer Keroh, Malaysia ; Mohemmed, A.W. ; Alias, M.Y. ; Aziz, K.A.
more authors

In mobile wireless sensor networks (WSN) coverage can be enhanced by moving the sensors so that a better arrangement is achieved. However, movement is a high energy consumption task. Therefore, in this paper besides coverage, the cost of moving the sensors is also taken into account. Both objectives are tackled in separate phases with coverage maximization in the first phase while energy conservation in the second phase. The coverage is optimized by rearranging the sensors' position while the energy is conserved by minimizing the maximum distance moved by the sensors. The algorithm performance is evaluated through simulation using different WSNs. The simulation results show that the proposed algorithm increases the coverage and reduces the energy consumption significantly.

Published in:

Bio-Inspired Computing: Theories and Applications (BIC-TA), 2011 Sixth International Conference on

Date of Conference:

27-29 Sept. 2011