Utility-based joint sensor selection and congestion control for task-oriented WSNs

Rowaihy, Hosam, Johnson, Matthew P., Eswaran, Sharanya, Pizzocaro, Diego ORCID: https://orcid.org/0000-0003-1976-8805, Bar-Noy, Amotz, La Porta, Thomas, Misra, Archan and Preece, Alun David ORCID: https://orcid.org/0000-0003-0349-9057 2008. Utility-based joint sensor selection and congestion control for task-oriented WSNs. Presented at: 42nd Asilomar Conference on Signals, Systems & Computers, Pacific Grove, CA, 26-29 October 2008. Published in: Matthews, Michael B. ed. Conference record of the 42nd Asilomar Conference on Signals, Systems and Computers October 26-29, 2008, Pacific Grove, California. Los Alamitos, CA: IEEE, pp. 1165-1169. 10.1109/ACSSC.2008.5074598

Full text not available from this repository.

Abstract

Task-centric wireless sensor network environments are often characterized by the simultaneous operation of multiple tasks. Individual tasks compete for constrained resources and thus need resource mediation algorithms at two levels. First, different sensors must be allocated to different tasks based on the combination of sensor attributes and task requirements. Subsequently, sensor data rates on various data routes must be dynamically adapted to share the available wireless bandwidth, especially when links experience traffic congestion. In this paper we investigate heuristics for incrementally modifying the sensor-task matching process to incorporate changes in the transport capacity constraints or feasible task utility values.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher:	IEEE
ISBN:	9781424429417
Last Modified:	11 Jun 2023 01:17
URI:	https://orca.cardiff.ac.uk/id/eprint/14199

Citation Data

Cited 7 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item