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Proceedings Paper

Kalai-Smorodinsky bargaining solution for optimal resource allocation over wireless DS-CDMA visual sensor networks
Author(s): Katerina Pandremmenou; Lisimachos P. Kondi; Konstantinos E. Parsopoulos
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Paper Abstract

Surveillance applications usually require high levels of video quality, resulting in high power consumption. The existence of a well-behaved scheme to balance video quality and power consumption is crucial for the system's performance. In the present work, we adopt the game-theoretic approach of Kalai-Smorodinsky Bargaining Solution (KSBS) to deal with the problem of optimal resource allocation in a multi-node wireless visual sensor network (VSN). In our setting, the Direct Sequence Code Division Multiple Access (DS-CDMA) method is used for channel access, while a cross-layer optimization design, which employs a central processing server, accounts for the overall system efficacy through all network layers. The task assigned to the central server is the communication with the nodes and the joint determination of their transmission parameters. The KSBS is applied to non-convex utility spaces, efficiently distributing the source coding rate, channel coding rate and transmission powers among the nodes. In the underlying model, the transmission powers assume continuous values, whereas the source and channel coding rates can take only discrete values. Experimental results are reported and discussed to demonstrate the merits of KSBS over competing policies.

Paper Details

Date Published: 15 February 2012
PDF: 11 pages
Proc. SPIE 8305, Visual Information Processing and Communication III, 83050T (15 February 2012); doi: 10.1117/12.908702
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. 8305:
Visual Information Processing and Communication III
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)

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