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Scalable Data Acquisition for Densely Instrumented Cyber-Physical Systems
Ref: HURRAY-TR-110111       Publication Date: 12 to 14, Apr, 2011

Scalable Data Acquisition for Densely Instrumented Cyber-Physical Systems

Ref: HURRAY-TR-110111       Publication Date: 12 to 14, Apr, 2011

Abstract:
Consider the problem of designing an algorithm for acquiring sensor readings. Consider specifically the problem of obtaining an approximate representation of sensor readings where (i) sensor readings originate from different sensor nodes, (ii) the number of sensor nodes is very large, (iii) all sensor nodes are deployed in a small area (dense network) and (iv) all sensor nodes communicate over a communication medium where at most one node can transmit at a time (a single broadcast domain). We present an efficient algorithm for this problem, and our novel algorithm has two desired properties: (i) it obtains an interpolation based on all sensor readings and (ii) it is scalable, that is, its time-complexity is independent of the number of sensor nodes. Achieving these two properties is possible thanks to the close interlinking of the information processing algorithm, the communication system and a model of the physical world.

Authors:
Aida Ehyaei
,
Eduardo Tovar
,
Nuno Pereira
,
Bj├Ârn Andersson


IEEE/ACM International Conference on Cyber-Physical Systems (ICCPS 2011), IEEE, pp 174-183.
Chicago, IL, U.S.A..

DOI:10.1109/ICCPS.2011.15.
ISBN: 978-1-61284-640-8.



Record Date: 6, Jan, 2011