Abstract
Wireless camera sensor networks have to balance the conflicting challenges imposed by the detection performance, latency and lifetime requirements in surveillance applications. While previous studies for camera sensor networks have addressed these issues separately, they have not quantified the trade-offs between these requirements. In this paper, we discuss the design and implementation of SCOPES, a distributed Smart Camera Object Position Estimation System that balances the trade-offs associated with camera sensor networks. The main contribution of the paper is the extensive evaluation of parameters affecting the performance of the system through analysis, simulation and experimentation in real-life conditions. Our results demonstrates the effectiveness of SCOPES, which achieves detection probabilities ranging from 84% to 98% and detection latencies from 10 seconds to 18 seconds. Moreover, by using coordination schemes, the detection performance of SCOPES was improved with increased system lifetime. SCOPES highlights that intelligent system design can compensate for resource-constrained hardware and computationally simple data processing algorithms.
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Kamthe, A., Jiang, L., Dudys, M., Cerpa, A. (2009). SCOPES: Smart Cameras Object Position Estimation System. In: Roedig, U., Sreenan, C.J. (eds) Wireless Sensor Networks. EWSN 2009. Lecture Notes in Computer Science, vol 5432. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00224-3_18
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DOI: https://doi.org/10.1007/978-3-642-00224-3_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00223-6
Online ISBN: 978-3-642-00224-3
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