会议论文详细信息
7th Sensors & their Applications
Pervasive Sensing: Addressing the Heterogeneity Problem
O'Grady, Michael J.^1 ; Murdoch, Olga^1 ; Kroon, Barnard^1 ; Lillis, David^1 ; Carr, Dominic^1 ; Collier, Rem W.^1 ; O'Hare, Gregory M. P.^1
CLARITY: Centre for Sensor Web Technologies, University College Dublin, Belfield, Dublin 4, Ireland^1
关键词: Data provenance;    Fit for purpose;    Initial solution;    Pervasive sensing;   
Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/450/1/012044/pdf
DOI  :  10.1088/1742-6596/450/1/012044
来源: IOP
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【 摘 要 】

Pervasive sensing is characterized by heterogeneity across a number of dimensions. This raises significant problems for those designing, implementing and deploying sensor networks, irrespective of application domain. Such problems include for example, issues of data provenance and integrity, security, and privacy amongst others. Thus engineering a network that is fit-for-purpose represents a significant challenge. In this paper, the issue of heterogeneity is explored from the perspective of those who seek to harness a pervasive sensing element in their applications. A initial solution is proposed based on the middleware construct.

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