Share Email Print

Proceedings Paper

Fairness issues in resource allocation schemes for wireless visual sensor networks
Author(s): Katerina Pandremmenou; Lisimachos P. Kondi; Konstantinos E. Parsopoulos
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

This work addresses the problem of fairness and efficiency evaluation of various resource allocation schemes for wireless visual sensor networks (VSNs). These schemes are used to optimally allocate the source coding rates, channel coding rates, and power levels among the nodes of a wireless direct sequence code division multiple access (DS–CDMA) VSN. All of the considered schemes optimize a function of the video qualities of the nodes. However, there is no single scheme that maximizes the video quality of each node simultaneously. In fact, all presented schemes are able to provide a Pareto–optimal solution, meaning that there is no other solution that is simultaneously preferred by all nodes. Thus, it is not clear which scheme results in the best resource allocation for the whole network. To handle the resulting tradeoffs, in this study we examine four metrics that investigate fairness and efficiency under different perspectives. Specifically, we apply a metric that considers both fairness and performance issues, and another metric that measures the “equality” of a resource allocation (equal utilities for the nodes). The third metric computes the total system utility, while the last metric computes the total power consumption of the nodes. Ideally, a desirable scheme would achieve high total utility while being equally fair to all nodes and requiring low amounts of power.

Paper Details

Date Published: 21 February 2013
PDF: 12 pages
Proc. SPIE 8666, Visual Information Processing and Communication IV, 866601 (21 February 2013); doi: 10.1117/12.2004605
Show Author Affiliations
Katerina Pandremmenou, Univ. of Ioannina (Greece)
Lisimachos P. Kondi, Univ. of Ioannina (Greece)
Konstantinos E. Parsopoulos, Univ. of Ioannina (Greece)

Published in SPIE Proceedings Vol. 8666:
Visual Information Processing and Communication IV
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?