Title :
Joint and Simultaneous K-sensing Detection in Deterministic and Random Sensor Networks
Author :
Wang, Yun ; Kutta, Andrew
Author_Institution :
Dept. of Comput. Sci., Bradley Univ., Peoria, IL, USA
Abstract :
Different from existing works that address the sensing coverage and connectivity for general-purpose Wireless Sensor Network (WSN) applications or treat the sensing coverage and connectivity separately, this work investigates the K-sensing detection problem of a WSN in detecting a mobile intruder by integrating the sensing coverage and connectivity. To be specific, the intruder has to be sensed by K(K ≥ 1) connected sensors simultaneously or jointly for successful detection. We discover that joint K-sensing detection differs from the simultaneous K-sensing detection to a significant extent and deterministic sensor deployment does not always outperform its random counterpart especially for simultaneous K-sensing detection under the same network investment. In addition, there exists a threshold ratio (rc/rs) of transmission range to sensing range in determining the detection capability of a WSN and the threshold ratio varies under different application scenarios and requirements.
Keywords :
wireless sensor networks; WSN; detection capability; random sensor networks; simultaneous K-sensing detection; transmission range; wireless sensor network; Computational modeling; Intrusion detection; Joints; Mobile communication; Sensors; Wireless sensor networks; Connectivity; Intrusion detection; K-sensing detection; Network design and deployment; Wireless sensor networks;
Conference_Titel :
Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2012 IEEE 26th International
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-0974-5
DOI :
10.1109/IPDPSW.2012.189