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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Akselrod, D. Sinha, A. Goldman, C.V. Kirubarajan, T. |
| Copyright Year | 2006 |
| Description | Author affiliation: Electr. & Comput. Eng. Dept., McMaster Univ., Hamilton, Ont. (Akselrod, D.; Sinha, A.) |
| Abstract | Network-centric multisensor-multitarget tracking has numerous advantages over single-sensor or single-platform tracking. In this paper, we present a solution to one of the main problems of network-centric tracking, namely, decentralized information sharing among the platforms participating in the distributed data fusion. This paper presents a decision mechanism that provides each platform with the required data for the distributed data fusion process while reducing redundancy in the information flow in the overall system. We consider a distributed data fusion system consisting of platforms that are decentralized, heterogeneous, and potentially unreliable. The proposed approach, which is based on Markov decision processes and decentralized lookup substrate, will control the information exchange process based, among the other parameters, on tracking performance metrics of individual platforms, thereby enhancing the whole distributed system's reliability as well as that of each participating platform. Simulation examples demonstrate the operation and the performance results of the system |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 9925176 |
| Page Count | 8 |
| File Format | |
| ISBN | 1424409535 |
| DOI | 10.1109/ICIF.2006.301722 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-07-10 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | ISIF |
| Subject Keyword | Target tracking Sensor fusion Wireless sensor networks Redundancy Control systems Measurement Reliability Channel capacity Communication system control Distributed computing multisensor-multitarget tracking Distributed data fusion communication management control of information flow Markov decision process |
| Content Type | Text |
| Resource Type | Article |
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