Vulnerability of Surveillance Networks to Faults. (2006)

• Record Type: Journal Article
• Authors: Chin Chin, Tai-Lin Tai-Lin; Clouqueur Clouqueur, Thomas Thomas; Ramanathan Ramanathan, Parameswaran Parameswaran; Saluja Saluja, Kewal K. Kewal K.
• Is Part Of: International journal of distributed sensor networks. Volume 2:Number 3(2006)
• Page Start: 289
• Page End: 311
• Publication Date: 2006
• Subjects: Sensor Networks; Exposure; Detection; Sensor Deployment; Fault Tolerance; Sensor networks -- Periodicals; Intelligent agents (Computer software) -- Periodicals; Multisensor data fusion -- Periodicals; 681.2
• DOI: 10.1080/15501320600692036
• Languages: English
• ISSNs: 1550-1329

Abstract

Abstract : Recent advances in technology have made it possible to build surveillance systems using many low-cost sensor nodes with limited computation and communication capabilities. Due to a potentially large number of nodes deployed, node failures are inevitable and can render a surveillance system that has degraded detection performances. The exposure metric has been proposed earlier to assess the quality of a surveillance system based on the detection performances. In this paper, we characterize the vulnerability of a system in terms of its exposure with respect to the number of faulty nodes and their combinations. Specifically, we assess the exposure of a surveillance network subject to a given number of faulty nodes, and identify the worst-case fault combination for both an idling target and a traversing target. For an idling target, the worst-case fault combination and exposure is analytically identified. For a traversing target, a genetic algorithm based approach is proposed to derive a near worst-case fault combination, and extensive simulation results are presented to show the effectiveness of the algorithm.