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| Content Provider | ACM Digital Library |
|---|---|
| Author | Shenoy, Prashant Lu, Qifeng Kulkarni, Purushottam Ganesan, Deepak |
| Abstract | This paper argues that a camera sensor network containing heterogeneous elements provides numerous benefits over traditional homogeneous sensor networks. We present the design and implementation of senseye---a multi-tier network of heterogeneous wireless nodes and cameras. To demonstrate its benefits, we implement a surveillance application using senseye comprising three tasks: object detection, recognition and tracking. We propose novel mechanisms for low-power low-latency detection, low-latency wakeups, efficient recognition and tracking. Our techniques show that a multi-tier sensor network can reconcile the traditionally conflicting systems goals of latency and energy-efficiency. An experimental evaluation of our prototype shows that, when compared to a single-tier prototype, our multi-tier senseye can achieve an order of magnitude reduction in energy usage while providing comparable surveillance accuracy. |
| Starting Page | 229 |
| Ending Page | 238 |
| Page Count | 10 |
| File Format | |
| ISBN | 1595930442 |
| DOI | 10.1145/1101149.1101191 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2005-11-06 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Hierarchical sensor networks Camera sensors |
| Content Type | Text |
| Resource Type | Article |
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