Game-theoretic solutions through intelligent optimization for efficient resource management in wireless visual sensor networks-Reference-Cited by-同舟云学术

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Game-theoretic solutions through intelligent optimization for efficient resource management in wireless visual sensor networks

Published:2014-04 Issue:4 Volume:29 Page:472-493
ISSN:0923-5965
Container-title:Signal Processing: Image Communication
language:en
Short-container-title:Signal Processing: Image Communication

Author:

Pandremmenou Katerina,Kondi Lisimachos P.,Parsopoulos Konstantinos E.,Bentley Elizabeth S.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference48 articles.

1. I. Menache, N. Shimkin, Noncooperative power control and transmission scheduling in wireless collision channels, in: Proceedings of the 2008 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS ׳08, ACM, New York, NY, USA, 2008, pp. 349–358.

2. CDMA uplink power control as a noncooperative game;Alpcan;Wirel. Netw.,2002

3. Noncooperative power-control game and throughput game over wireless networks;Han;IEEE Trans. Commun.,2005

4. Z. Han, Z. Ji, K.J.R. Liu, Power minimization for multi-cell ofdm networks using distributed non-cooperative game approach, in: Global Telecommunications Conference (GLOBECOM), IEEE, 2004, pp. 3742–3747.

5. Asymptotic optimality for distributed spectrum sharing using bargaining solutions;Suris;IEEE Trans. Wirel. Commun.,2009

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