Pervasive Sensing: Addressing the Heterogeneity Problem

Autor:	David Lillis, Gregory M. P. O'Hare, Dominic Carr, Barnard Kroon, Olga Murdoch, Rem W. Collier, Michael J. O'Grady
Rok vydání:	2013
Předmět:	History Engineering business.industry Perspective (graphical) computer.software_genre Computer security Data science Computer Science Applications Education Application domain Middleware (distributed applications) Computer software business Construct (philosophy) Wireless sensor network computer
Zdroj:	Journal of Physics: Conference Series. 450:012044
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/450/1/012044
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f374f21ed4a13653060fd6ef94899672 https://doi.org/10.1088/1742-6596/450/1/012044 Zobrazit plný text záznamu