An accurate prediction method for moving target localization and tracking in wireless sensor networks
| Autor: | Federico Viani, Ridha Bouallegue, Hanen Ahmadi |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer Networks and Communications
business.industry Computer science 010401 analytical chemistry 020206 networking & telecommunications 02 engineering and technology Tracking (particle physics) computer.software_genre 01 natural sciences 0104 chemical sciences Hardware and Architecture Position (vector) Metric (mathematics) 0202 electrical engineering electronic engineering information engineering Wireless Relevance (information retrieval) Data mining business Wireless sensor network computer Software |
| Zdroj: | Ad Hoc Networks. 70:14-22 |
| ISSN: | 1570-8705 |
| Popis: | With the large use of wireless sensor devices, the interest in positioning and tracking by means of wireless sensor networks is expected to grow further. Particularly, accurate localization of a moving target is a fundamental requirement in several Machine to Machine monitoring applications. Tracking using Received Signal Strength Indicator (RSSI) has been frequently adopted thanks to the availability and the low cost of this parameter. In this paper, we propose an innovative target tracking algorithm which combines learning regression tree approach and filtering methods using RSSI metric. Regression Tree algorithm is investigated in order to estimate the position using the RSSI. This method is combined to filtering approaches yielding to more refined results. The suggested approach is evaluated through simulations and experiments. We also compare our method to existing algorithms available in the literature. The numerical and experimental results show the relevance and the efficiency of our method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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