One of the distinguishing characteristics of hostile networked radio sources (e.g.,
enemy sensor network nodes), is that only physical layer information and limited
medium access control (MAC) layer information of the network is observable. We
propose a scheme to localize hostile networked radio sources based on the radio signal
strength and communication protocol pattern analysis using a mobile robot with a
directional antenna. We integrate a Particle Filter algorithm with a new sensing
model which is built on a directional antenna model and Carrier Sense Multiple
Access (CSMA)-based MAC protocol model. we model and analyze the channel
idle probability and busy collision probability as a function of the number of radio
sources in the CSMA protocol modeling. Based on the sensing model, we propose a
particle-filter-based scheme to simultaneously estimate the number and the positions
of networked radio sources. We provide a localization scheme based on the method
of steepest descent for the purpose of performance comparison. Simulation results
demonstrate that our proposed localization scheme has a better success rate than the
scheme based on the steepest descent at different tolerant distances.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/4820 |
| Date | 25 April 2007 |
| Creators | Hu, Qiang |
| Contributors | Kundur, Deepa, Song, Dezhen |
| Publisher | Texas A&M University |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Thesis, text |
| Format | 578271 bytes, electronic, application/pdf, born digital |
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