Symbol synchronisation implementation for low-power RF communication in wireless sensor networks
MacEwen, N.C. and Crockett, L.H. and Pfann, E. and Stewart, R.W.; (2005) Symbol synchronisation implementation for low-power RF communication in wireless sensor networks. In: Conference Record of the 39th Asilomar Conference on Signals, Systems and Computers, 2005. IEEE, 447 - 451. ISBN 1-4244-0131-3
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Speckled Computing is a novel vision of a wireless sensor network consisting of small nodes which can sense, compute and network wirelessly. The nodes will individually have limited power and processing resources, but together will form a powerful processing system. Electrical power resources at such a volume are severely restricted, and as such design decisions are made with low-power as the first priority. This work examines the use of Manchester encoding in the digital transceiver to reduce the complexity of symbol synchronisation. A Manchester decoder has been implemented which has the useful property of being tolerant to oscillator inaccuracies, allowing a cheap and low-power clock source to be employed. A realistic implementation of the decoder using rectangular pulseshaping and an oversampling ratio of 8 allows an on-chip oscillator tolerance of more than 11%.
Creators(s): |
MacEwen, N.C., Crockett, L.H., Pfann, E. and Stewart, R.W. ![]() | Item type: | Book Section |
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ID code: | 38068 |
Keywords: | computer networks, computer vision, decoding, encoding, radio frequency, transceivers, wireless sensor networks, Electrical engineering. Electronics Nuclear engineering |
Subjects: | Technology > Electrical engineering. Electronics Nuclear engineering |
Department: | Faculty of Engineering > Electronic and Electrical Engineering |
Depositing user: | Pure Administrator |
Date deposited: | 01 Mar 2012 14:53 |
Last modified: | 01 Jan 2021 06:40 |
Related URLs: | |
URI: | https://strathprints.strath.ac.uk/id/eprint/38068 |
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