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Sensor Network-Based Localization for Continuous Tracking Applications : Implementation and Performance Evaluation
Joint Authors
Zappatore, Sandro
Davoli, Franco
Denegri, Livio
Source
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-10-14
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
The increasing interest in systems able to provide users with immersive services (e.g., domotics, context-aware applications, and immersive distance learning tools) has encouraged the development of cheap and effective platforms aimed at tracking objects and people within a certain space.
In this context, wireless sensor networks (WSNs) can play a very important role, since specialized sensors can be fruitfully exploited in order to generate/receive signals by means of which the WSN can derive the position of nodes joined to the objects to be tracked.
The paper presents an original localization platform that exploits a single-hop WSN, based on a Microchip MCU and a Cypress RF device, to track its moving nodes.
Specifically, the nodes of the network are divided into three sets: the first set consists of anchor nodes that, according to the commands from the sink (the central node of the WSN), generate ultrasonic pulses.
These pulses are received by the second set of (moving) nodes, which estimate the pulse time trip and communicate it to the sink.
Finally, the last set is constituted by general purpose nodes that collect any kind of data from the surrounding field.
The sink gathers all the data, computes the position of moving nodes, and transfers information to external users on the Internet.
The algorithms adopted to manage the network and to localize moving nodes are discussed.
A working prototype based upon the hardware platform, software, and protocol described in this paper has been deployed and tested, and some results are shown.
Simulation results of the localization system are presented to show system scalability.
American Psychological Association (APA)
Denegri, Livio& Zappatore, Sandro& Davoli, Franco. 2008. Sensor Network-Based Localization for Continuous Tracking Applications : Implementation and Performance Evaluation. Advances in Multimedia،Vol. 2008, no. 2008, pp.1-11.
https://search.emarefa.net/detail/BIM-481535
Modern Language Association (MLA)
Denegri, Livio…[et al.]. Sensor Network-Based Localization for Continuous Tracking Applications : Implementation and Performance Evaluation. Advances in Multimedia No. 2008 (2008), pp.1-11.
https://search.emarefa.net/detail/BIM-481535
American Medical Association (AMA)
Denegri, Livio& Zappatore, Sandro& Davoli, Franco. Sensor Network-Based Localization for Continuous Tracking Applications : Implementation and Performance Evaluation. Advances in Multimedia. 2008. Vol. 2008, no. 2008, pp.1-11.
https://search.emarefa.net/detail/BIM-481535
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-481535