Risk-based adaptive scheduling in randomly deployed video sensor networks for critical surveillance applications

Cong-Duc Pham 1 Makhoul Abdallah 2 Rachid Saadi 3
1 LIUPPA - Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour
2 FEMTO-ST - Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174)
3 ARLES - Software architectures and distributed systems
Inria Paris-Rocquencourt
Abstract : In randomly deployed visual wireless sensor networks for surveillance applications, the scheduling of sensor nodes can be seen from the risk perspective: different parts of the area of interest may have different risk levels according to the pattern of observed events such as the number of detected intrusions. In this paper, we propose a multiple-level activity model that uses behavior functions to define application classes and allows for adaptive scheduling based on the application criticality and on the availability of multiple cover sets per sensor node. The paper then describes how an adaptive scheduling model can be defined in order to dynamically schedule nodes by varying the capture speed according to nodes' environment. Simulation results are presented to validate the performance of the proposed approach in terms of percentage of active nodes, percentage of coverage and stealth time under intrusion scenarios.
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Journal articles
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https://hal.inria.fr/inria-00530355
Contributor : Rachid Saadi <>
Submitted on : Thursday, October 28, 2010 - 4:20:02 PM
Last modification on : Friday, April 26, 2019 - 6:52:17 PM

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Cong-Duc Pham, Makhoul Abdallah, Rachid Saadi. Risk-based adaptive scheduling in randomly deployed video sensor networks for critical surveillance applications. Journal of Network and Computer Applications, Elsevier, 2011, 34 (2), pp.783-795. ⟨10.1016/j.jnca.2010.10.002⟩. ⟨inria-00530355⟩

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