Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/3721
Título: Scalable data acquisition for densely instrumented cyber-physical systems
Autor: Ehyaei, Aida
Tovar, Eduardo
Pereira, Nuno
Andersson, Björn
Palavras-chave: CPS foundations
Real-time systems
Sensor networks
Data: 2011
Editora: IEEE
Relatório da Série N.º: Cyber-Physical Systems (ICCPS);
Resumo: 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.
Peer review: yes
URI: http://hdl.handle.net/10400.22/3721
ISBN: 978-1-61284-640-8
Versão do Editor: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5945432
Aparece nas colecções:ISEP – CISTER – Artigos

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