An evaluation of positioning system for wireless sensor networks in an indoor environment
Cao, D. and Meng, F. and Goh, H. and Kwong, K.H. and Michie, C. and Andonovic, I. (2009) An evaluation of positioning system for wireless sensor networks in an indoor environment. In: Proceedings of the 10th Annual Postgraduate Symposium on The Convergence of Telecommunications, Networking and Broadcasting (PGNET 2009), 1900-01-01.
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Wireless sensor network is a network system that deploys hundreds of wireless sensor nodes that can communicate with each other to detect, for example temperature, moisture, light, pressure, and etc. Knowing the location of the sensor node is critically important in specific applications. For example in asset management, the known location of individual sensor nodes which report event can reduce the time taken to locate and resolve faults. Having the ability to locate devices automatically can help to reduce the installation time and costs. This paper reviews and evaluates a variety of positioning techniques for wireless sensor network. For any positioning algorithms, raw signals captured between the transmitter and receiver (such as received signal strength, time of arrival and angle of arrival) are used and converted into distance information. In the paper, positioning algorithms based on time of arrival, received signal strength and fingerprinting are evaluated and comparisons of experimental results are showed.
ORCID iDs
Cao, D., Meng, F. ORCID: https://orcid.org/0000-0003-4462-5662, Goh, H., Kwong, K.H., Michie, C. ORCID: https://orcid.org/0000-0001-5132-4572 and Andonovic, I. ORCID: https://orcid.org/0000-0001-9093-5245;-
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Item type: Conference or Workshop Item(Paper) ID code: 14627 Dates: DateEventJune 2009PublishedNotes: ISBN: 978-1-902560-22-9 © 2009 PGNet Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Strathprints Administrator Date deposited: 10 May 2011 04:23 Last modified: 11 Nov 2024 16:23 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/14627