DocumentCode :
3557911
Title :
Modeling Detection Latency with Collaborative Mobile Sensing Architecture
Author :
Chin, Tai-Lin ; Ramanathan, Parameswaran ; Saluja, Kewal K.
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei
Volume :
58
Issue :
5
fYear :
2009
fDate :
5/1/2009 12:00:00 AM
Firstpage :
692
Lastpage :
705
Abstract :
Detection latency, which is defined as the time from the target arrival to the time of the first detection, is an important metric for the performance of sensor networks carrying out target detection, especially when the target is malicious or hostile. It characterizes the efficiency of detecting the presence of a target in a region of interest. Traditionally, stationary sensor networks are used to perform such sensing tasks. Consequently, nearly all research literature for the target detection problem has focused on stationary sensor networks. This paper addresses the problem of detecting the presence/absence of a target using a mobile sensor network. An analytic method is proposed to model the detection latency based on a collaborative sensing architecture. Detection latency for different node mobility models is presented. The accuracy of the analytic model is verified by simulations. This paper also compares the performance of mobile and stationary sensor networks. The comparison shows that if the target is present at the worst possible location in a given deployment, then detection latency of mobile sensor networks is considerably shorter as compared to that of stationary networks with the same number of nodes.
Keywords :
mobile radio; object detection; telecommunication security; wireless sensor networks; collaborative mobile sensing architecture; malicious node detection; mobile sensor network; mobility model; modeling detection latency; stationary sensor network; target detection; Analytical models; Biosensors; Collaboration; Decision making; Delay; Monitoring; Object detection; Sensor phenomena and characterization; Vehicles; Wireless sensor networks; Mobile sensor networks; Modeling techniques; Pervasive computing; Wireless sensor networks; analytic model.; collaborative sensing; detection latency; target detection;
fLanguage :
English
Journal_Title :
Computers, IEEE Transactions on
Publisher :
ieee
Conference_Location :
10/10/2008 12:00:00 AM
ISSN :
0018-9340
Type :
jour
DOI :
10.1109/TC.2008.189
Filename :
4641910
Link To Document :
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