Abstract
The paper proposed a range-based particle filtering localization method for static WSN (Wireless Sensor Network). In the method, every blind node in WSN localizes itself through local distance measurements. So the method is parallel. With the development of hardware, RSSI (Received Signal Strength Indicator) measurements were already hardwired in some chips, and then almost no extra hardware was required when the measurement stratagem was adopted. Firstly, the statespace function of localization in a static WSN was proposed in the paper. And the measurement noise model was particularly studied. Because of the non-linear and non-Gaussian model, particle filter was adopted as a suitable localization algorithm for the application. Static nodes bring some new problems to us. So important steps in a particle filter were specifically illustrated in the paper, including: initialization, prediction, sequential importance sampling and the resampling. Software simulations were done in the paper to demonstrate the effect of the proposed method. A blind node was selected as a sample to illustrate the convergence of the particle filter. And some problems emerged in the simulation were also analyzed. After that, it showed a result about localization in a 100 nodes network by the proposed method.
Original language | English |
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Title of host publication | Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08 |
Pages | 1629-1634 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 25 Sept 2008 |
Externally published | Yes |
Event | 7th World Congress on Intelligent Control and Automation, WCICA'08 - Chongqing, China Duration: 25 Jun 2008 → 27 Jun 2008 |
Conference
Conference | 7th World Congress on Intelligent Control and Automation, WCICA'08 |
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Country/Territory | China |
City | Chongqing |
Period | 25/06/08 → 27/06/08 |
Keywords
- Particle filter
- Ranged-based localization
- RSSI measurement
- Static WSN
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Computer Science Applications