Resource determination and allocation in sensor networks: A hybrid approach

Sensoy, Murat, Le, Thao, Vasconcelos, Wamberto W., Norman, Timothy J. and Preece, Alun David ORCID: https://orcid.org/0000-0003-0349-9057 2011. Resource determination and allocation in sensor networks: A hybrid approach. The Computer Journal 54 (3) , pp. 356-372. 10.1093/comjnl/bxq015

Full text not available from this repository.

Abstract

Many organizations depend on critical sensory information to achieve their tasks. As the number of those tasks increases, efficient determination and allocation of required resources in sensor networks become crucial. In this paper, we propose means to describe tasks semantically with their requirements and constraints so that software agents can reason about those tasks and determine what type of sensor resources they may need. Based on the semantic description and reasoning mechanisms, we propose a distributed agent-based approach to efficiently allocate sensor resources to tasks. Our evaluation of the proposed approach shows that not only it enables fully automated determination and allocation of resources for tasks, but also the resulting allocation is efficient and close to optimum.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords:	sensor networks; Semantic Web; resource allocation
Publisher:	Oxford University Press
ISSN:	0010-4620
Last Modified:	17 Oct 2022 10:08
URI:	https://orca.cardiff.ac.uk/id/eprint/6884

Citation Data

Cited 8 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item