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Content Provider | IEEE Xplore Digital Library |
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Author | Massey, T. Kapur, R. Dabiri, F. Linh Nam Vu Sarrafzadeh, M. |
Copyright Year | 2007 |
Description | Author affiliation: Univ. of Los Angeles, Los Angeles (Massey, T.; Kapur, R.; Dabiri, F.; Linh Nam Vu; Sarrafzadeh, M.) |
Abstract | In wireless sensor networks, the data collected from numerous low end sensors can be equivalent or superior to a few high fidelity sensors. In this paper, we evaluate the validity of this concept with low-resolution optical sensors. We implemented passive localization using visual object identification techniques on a field programmable gate array (FPGA) sensor platform. The complexity, memory utilization, and accuracy of our algorithms were analyzed for performance on a resource constrained environment. We show that low-resolution optical sensors can accurately localize objects on a global two dimensional plane. We also present a model that quantifies fidelity versus scale for optical sensors. Using our model and application, we demonstrate that low-fidelity optical sensors are an effective tool in sensor networks and at a certain scale can provide superior coverage of an area over a high-resolution camera. This analysis lays the groundwork for future advances in optical sensors. |
Starting Page | 1 |
Ending Page | 9 |
File Size | 353035 |
Page Count | 9 |
File Format | |
ISBN | 9781424414543 |
DOI | 10.1109/MOBHOC.2007.4428621 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2007-10-08 |
Publisher Place | Italy |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | localization wireless sensor networks Sensor systems optical sensors Intelligent sensors Sensor arrays Radio frequency Wireless sensor networks Object detection Acoustic sensors Cameras Optical sensors Field programmable gate arrays |
Content Type | Text |
Resource Type | Article |
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