TRAP@NCI

Pervasive Sensing: Addressing the Heterogeneity Problem

O'Grady, Michael J., Murdoch, Olga, Kroon, Barnard, Lillis, David, Carr, Dominic, Collier, Rem W. and O'Hare, Gregory M. P. (2013) Pervasive Sensing: Addressing the Heterogeneity Problem. Journal of Physics: Conference Series, 450 (1). 012044. ISSN 1742-6596

[img]
Preview
PDF
Available under License Creative Commons Attribution.

Download (895kB) | Preview

Abstract

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.

Item Type: Article
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software
Divisions: School of Computing > Staff Research and Publications
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 10 Dec 2018 10:32
Last Modified: 10 Dec 2018 10:32
URI: http://trap.ncirl.ie/id/eprint/3542

Actions (login required)

View Item View Item