DocumentCode :
590538
Title :
On detecting mobile target with deadline constraint in mobile sensor networks
Author :
Yu-Yi Chen ; Chih-Cheng Hsu ; Cheng-Fu Chou ; Lin, Kate Ching-Ju
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fYear :
2012
fDate :
28-31 Oct. 2012
Firstpage :
1
Lastpage :
4
Abstract :
Wireless sensor networks have been widely studied in various applications such as environmental monitoring, battlefield surveillance, and intrusion detection recently. One of the important applications is to detect mobile targets (e.g., invaders) by using mobile sensor nodes. Consider a closed region where there are several mobile sensors patrolling and trying to capture targets who are able to sense their environments and then plan their movements to avoid detection. The focuses of this paper are (a) to figure out a better movement strategy for a sensor for coping with the issue of detecting mobile targets with the deadline, and (b) to investigate the trade-off between the number of mobile sensors and the quality of detection represented by the detection probability before a given deadline. With the help of the proposed model, we design a detection strategy, called Single-hop Presence-aware Detection Strategy, to effectively capture the mobile target. The simulation results show that the model can predict the expected detection time precisely, and the number of sensors obtained from the model is adequate to satisfy the desired quality of detection.
Keywords :
mobile radio; wireless sensor networks; battlefield surveillance; deadline constraint; detection probability; environmental monitoring; intrusion detection; mobile sensor networks; mobile target detection; single-hop presence-aware detection strategy; wireless sensor networks; Games; Markov processes; Mobile communication; Mobile computing; Monitoring; Predictive models; Robot sensing systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors, 2012 IEEE
Conference_Location :
Taipei
ISSN :
1930-0395
Print_ISBN :
978-1-4577-1766-6
Electronic_ISBN :
1930-0395
Type :
conf
DOI :
10.1109/ICSENS.2012.6411422
Filename :
6411422
Link To Document :
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