Title :
Energy-Efficient Coverage Hole Self-Repair in Mobile Sensor Networks
Author :
Wu, Riheng ; He, Jun ; Li, Tiffany Jing ; Shi, Hongchi
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Tennessee, Knoxville, TN, USA
fDate :
June 30 2009-July 2 2009
Abstract :
With the advancement of MEMS techniques, mobile sensors with low cost and high capability are being deployed widely to carry out all kinds of complicated, risky tasks in large scale networks, especially in the areas are inaccessible to the human. Mobile sensors, which have the function of self-detection and self-repair, are desirable to solve the problem of failure of sensors, which causes costly maintenance expenditure and fatal loss. In this paper, we propose a novel heuristic self-repair algorithm to fix coverage holes in sensor networks using mobile nodes. The algorithm works successfully and efficiently to cover holes using reasonable numbers of mobile sensors. Numerical simulation results show our algorithm is near optimal for small coverage holes in terms of the metrics in number of mobile sensors, time and space complexity compared to optimal scheme. Our scheme is especially suitable for repairing multiple irregular areas of coverage holes simultaneously.
Keywords :
computational complexity; mobile radio; numerical analysis; wireless sensor networks; MEMS techniques; energy-efficient coverage hole self-repair; heuristic self-repair algorithm; mobile nodes; mobile sensor networks; numerical simulation; self-detection; space complexity; time complexity; Computer networks; Computer science; Energy efficiency; Helium; Mobile computing; Network topology; Numerical simulation; Power engineering and energy; Power measurement; Robustness;
Conference_Titel :
New Trends in Information and Service Science, 2009. NISS '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3687-3
DOI :
10.1109/NISS.2009.249