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Open Access research with a European policy impact...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the European Policies Research Centre (EPRC).

EPRC is a leading institute in Europe for comparative research on public policy, with a particular focus on regional development policies. Spanning 30 European countries, EPRC research programmes have a strong emphasis on applied research and knowledge exchange, including the provision of policy advice to EU institutions and national and sub-national government authorities throughout Europe.

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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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Abstract

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.