Congestion avoidance and control
SIGCOMM '88 Symposium proceedings on Communications architectures and protocols
A scalable content-addressable network
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Understanding TCP Vegas: a duality model
Journal of the ACM (JACM)
Protecting Free Expression Online with Freenet
IEEE Internet Computing
On Modeling Round-Trip Time Dynamics of the Internet Using System Identification
ICOIN '02 Revised Papers from the International Conference on Information Networking, Wireless Communications Technologies and Network Applications-Part I
Enabling Compatibility Between TCP Reno and TCP Vegas
SAINT '03 Proceedings of the 2003 Symposium on Applications and the Internet
MASCOTS '05 Proceedings of the 13th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
Toward Distributed Service Discovery in Pervasive Computing Environments
IEEE Transactions on Mobile Computing
A lightweight, robust P2P system to handle flash crowds
IEEE Journal on Selected Areas in Communications
TCP Vegas: end to end congestion avoidance on a global Internet
IEEE Journal on Selected Areas in Communications
Traffic sources measurement and analysis in UMTS
Proceedings of the 1st ACM workshop on High performance mobile opportunistic systems
Traffic shaping measurements and analyses in 3G network
Proceedings of the 2nd ACM workshop on High performance mobile opportunistic systems
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Exploitation of mobile peer networking in providing data and multimedia services has to-date been limited for a number of reasons, these include difficulties in addressing different ubiquitous radio access networks, cost per bandwidth, as well as increased TCP congestion due to reduced radio resources. A new mobile peer networking algorithm involving adaptive window techniques based on Linear-Quadratic-Gaussian (LQG) control is proposed. Results show that the proposed technique presents a remarkable network performance improvement over standard algorithms.