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%.
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 |
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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 | |
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 |
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Period | 1/01/00 → … |
Keywords
- computer networks
- computer vision
- decoding
- encoding
- radio frequency
- transceivers
- wireless sensor networks