Symbol synchronisation implementation for low-power RF communication in wireless sensor networks

N.C. MacEwen; L.H. Crockett; E. Pfann; R.W. Stewart

doi:10.1109/ACSSC.2005.1599787

Symbol synchronisation implementation for low-power RF communication in wireless sensor networks

N.C. MacEwen, L.H. Crockett, E. Pfann, R.W. Stewart

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

5 Citations (Scopus)

Abstract

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%.

Original language	English
Title of host publication	Conference Record of the 39th Asilomar Conference on Signals, Systems and Computers, 2005
Publisher	IEEE
Pages	447 - 451
Number of pages	5
ISBN (Print)	1-4244-0131-3
DOIs	https://doi.org/10.1109/ACSSC.2005.1599787
Publication status	Published - 1 Nov 2005
Event	39th Asilomar Conference on Signals, Systems and Computers - Duration: 1 Jan 1900 → …

Conference

Conference	39th Asilomar Conference on Signals, Systems and Computers
Period	1/01/00 → …

Keywords

computer networks
computer vision
decoding
encoding
radio frequency
transceivers
wireless sensor networks

Access to Document

10.1109/ACSSC.2005.1599787

http://www.specknet.org/publications/symbol_synchronisation_implementation.pdf

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Cite this

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title = "Symbol synchronisation implementation for low-power RF communication in wireless sensor networks",

abstract = "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%.",

keywords = "computer networks, computer vision, decoding, encoding, radio frequency, transceivers, wireless sensor networks",

author = "N.C. MacEwen and L.H. Crockett and E. Pfann and R.W. Stewart",

year = "2005",

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doi = "10.1109/ACSSC.2005.1599787",

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booktitle = "Conference Record of the 39th Asilomar Conference on Signals, Systems and Computers, 2005",

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MacEwen, NC, Crockett, LH, Pfann, E & Stewart, RW 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, pp. 447 - 451, 39th Asilomar Conference on Signals, Systems and Computers, 1/01/00. https://doi.org/10.1109/ACSSC.2005.1599787

TY - GEN

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AU - MacEwen, N.C.

AU - Crockett, L.H.

AU - Pfann, E.

AU - Stewart, R.W.

PY - 2005/11/1

Y1 - 2005/11/1

N2 - 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%.

AB - 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%.

KW - computer networks

KW - computer vision

KW - decoding

KW - encoding

KW - radio frequency

KW - transceivers

KW - wireless sensor networks

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M3 - Conference contribution book

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PB - IEEE

T2 - 39th Asilomar Conference on Signals, Systems and Computers

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