Minimum Path Exposure and Detection Interval Setting for Target Detection Using Wireless Sensor Network

Sensor network generally detects target at a fixed frequency. Detection interval means time spacing between two adjacent detection attempts. While designing a sensor network for detection of target intrusion in a specific region, the interval should be carefully set with trade-off between power consumption and detection performance. This is because redundant power may be consumed if it is too short and the target may be missed if too long. In this paper, we study the determination of the maximum detection interval (MDI) with specified detection performance. Path exposure is adopted as a performance metric. For detection-oriented application, a novel method to evaluate the minimum path exposure (MPE) is developed. Then the MDI problem is formulated and its solution is presented. The factors influencing the MDI are extensively simulated.

[1]  Miodrag Potkonjak,et al.  Localized algorithms in wireless ad-hoc networks: location discovery and sensor exposure , 2001, MobiHoc '01.

[2]  Kewal K. Saluja,et al.  Exposure of variable speed targets through a sensor field , 2003, Sixth International Conference of Information Fusion, 2003. Proceedings of the.

[3]  Miodrag Potkonjak,et al.  Exposure in wireless Ad-Hoc sensor networks , 2001, MobiCom '01.

[4]  G. Arfken.  Mathematical Methods for Physicists , 1967 .

[5]  Parameswaran Ramanathan,et al.  Sensor deployment strategy for target detection , 2002, WSNA '02.

[6]  M. Hata,et al.  Empirical formula for propagation loss in land mobile radio services , 1980, IEEE Transactions on Vehicular Technology.

[7]  Yu Hen Hu,et al.  Detection, classification, and tracking of targets , 2002, IEEE Signal Process. Mag..

[8]  Kuang-Ching Wang,et al.  Value-Fusion versus Decision-Fusion for Fault-tolerance in Collaborative Target Detection in Sensor Networks , 2001 .

[9]  Allen Van Gelder,et al.  Computer Algorithms: Introduction to Design and Analysis , 1978 .

[10]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

[11]  G. Arfken,et al.  Mathematical methods for physicists 6th ed. , 1996 .

[12]  Gaurav S. Sukhatme,et al.  Connecting the Physical World with Pervasive Networks , 2002, IEEE Pervasive Comput..

[13]  Miodrag Potkonjak,et al.  Coverage problems in wireless ad-hoc sensor networks , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[14]  Robert Szewczyk,et al.  System architecture directions for networked sensors , 2000, ASPLOS IX.

[15]  Deborah Estrin,et al.  Directed diffusion: a scalable and robust communication paradigm for sensor networks , 2000, MobiCom '00.