CLOViSeN Project

CLOViSeN at a glance...

Full Title:	Cross-Layer Optimization in Visual Sensor Networks
Call:	FP7-PEOPLE-IRG-2008
Beneficiary:	Panepistimio Ioanninon (University of Ioannina)
Start Date:	16/3/2009
End Date:	15/3/2013

Short Project Description

This project is concerned with the cross-layer optimization of wireless visual sensor networks that are based on Direct Sequence Code Division Multiple Access (DS-CDMA). Sensor networks are comprised of typically low-weight distributed sensor nodes that can communicate with each other and/or with a centralized control unit. In this project, we are interested in visual sensor networks, where each node is equipped with a  video camera and transmits video information. Most of the previous work on sensor networks has focused on networks that transmit scalar information such as temperature, pressure, acoustic data, etc.

The OSI (Open Systems Interconnection) Reference Model includes seven layers that were originally designed so, that the information flow between them could be minimal. Thus, each layer could be optimized independently. However, recent research has shown that the joint optimization of the network layers can significantly improve performance, especially for the case of wireless networks. This is the concept of cross-layer optimization. Most of the previous research only considers a subset of the OSI layers in the optimization. In this work, we are implementing cross-layer optimization in wireless visual sensor networks, considering the whole range of layers, from the physical to the application layer. The cross-layer optimization is based on Game Theory principles.

This project is concerned

Published Research Results in Conferences/Journals

• A. V. Katsenou, L. P. Kondi, K. E. Parsopoulos and E. S. Bentley, "Quality-driven Power Control and Resource Allocation in Wireless Multi-rate Visual Sensor Networks", in 2012 IEEE International Conference on Image Processing (ICIP), Orlando, Florida USA.
• E. Tsiligianni, L. P. Kondi, A. K. Katsaggelos, “Shape Error Concealment Based on a Shape-Preserving Boundary Approximation”, IEEE Transactions on Image Processing, Aug.2012.
• E. Tsiligianni, L. P. Kondi, A. K. Katsaggelos, “Use of Tight Frames for Optimized Compressed Sensing”, European Signal Processing Conference (EUSIPCO), Bucharest, Romania, August 2012.
• A. V. Katsenou, L. P. Kondi,  K. E. Parsopoulos, " On the Use of Clustering for Resource Allocation in Wireless Visual Sensor Networks", Visual Information Processing and Communication III (SPIE-IS&T Electronic Imaging) 2012, Burlingame (CA), USA.
• K. Pandremmenou, L. P. Kondi, K. E. Parsopoulos, "Kalai-Smorodinsky Bargaining Solution for Optimal Resource Allocation Over Wireless DS-CDMA Visual Sensor Networks", Visual Information Processing and Communication III (SPIE-IS&T Electronic Imaging) 2012, Burlingame (CA), USA.
• A. V. Katsenou, L. P. Kondi,  K. E. Parsopoulos, "Resource Management for Wireless Visual Sensor Networks Based on Individual Video Characteristics", in Proc. IEEE International Conference on Image Processing 2011, Brussels, Belgium.
• K. Pandremmenou, L. P. Kondi, K. E. Parsopoulos, “Optimal Power Allocation and Joint Source-Channel Coding for Wireless DS-CDMA Visual Sensor Networks Using the Nash Bargaining Solution”, in Proc. IEEE International Conference on Accoustics Speech and Signal Processing, Prague, Czech Republic.
• E. S. Bentley, L. P. Kondi, J. D. Matyjas, M. J. Medley, B. W. Suter, “Spread Spectrum Visual Sensor Network Resource Management Using an End-to-End Cross-Layer Design”,IEEE Transactions on Multimedia,Vol. 13, No. 1, February 2011, pp-125-131.
• K. Pandremmenou, L. P. Kondi, K. E. Parsopoulos, “Optimal Power Allocation and Joint Source-Channel Coding for Wireless DS-CDMA Visual Sensor Networks”, in Visual Information Processing and Communication II, edited by Amir Said, Onur G. Guleryuz, Robert L. Stevenson, Proceedings of SPIE-IS&T Electronic Imaging, SPIE Vol. 7882, Article 788206, San Francisco, CA, January 2011.
• M. Bansal, M. Jubran, L. P. Kondi, “Scalable H.264 Wireless Video Transmission over MIMO-OFDM Channels”, in Proc. Advanced Concepts for Intelligent Vision Systems, Part II, LNCS 6475, pp. 34-45, Sydney, Australia, December 2010
• L. P. Kondi, E. S. Bentley, “Game-Theory-Based Cross-Layer Optimization for Wireless DS-CDMA Visual Sensor Networks”, in Proc.IEEE International Conference on Image Processing, Hong Kong, September 2010, pp. 4485-4488.

Publishable Summaries of the Deliverables

• Publishable Summary

 

Contact Person:

Lisimachos P. Kondi Associate Professor Computer Science Dpt. University of Ioannina

email: lkon@cs.uoi.gr