Learning in the recurrent random neural network
Neural Computation
Highly dynamic Destination-Sequenced Distance-Vector routing (DSDV) for mobile computers
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
Power-aware routing in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
The broadcast storm problem in a mobile ad hoc network
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Online power-aware routing in wireless Ad-hoc networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Power-aware source routing protocol for mobile ad hoc networks
Proceedings of the 2002 international symposium on Low power electronics and design
Measurement and performance of a cognitive packet network
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue on networking middleware: selected papers from the TERENA networking conference 2001
Design and performance of cognitive packet networks
Performance Evaluation
Learning to Predict by the Methods of Temporal Differences
Machine Learning
Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks
IEEE Communications Magazine
Design of link and routing protocols for cache-and-forward networks
SARNOFF'09 Proceedings of the 32nd international conference on Sarnoff symposium
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A widespread development of mobile ad hoc networks may give a great impulse to the creation of exciting new applications in the field of ubiquitous networks. A key problem in the development of mobile ad hoc networks is the establishment of high quality, multi-hop path, which imply the use of wireless links whose quality may fluctuate greatly as a consequence of interference and propagation dynamics. Most existing ad hoc routing protocols do not distinguish the quality of the links in their routing decisions. They just consider links as available for transmissions or not existing. In this paper we present an algorithm that enables link quality-awareness in cognitive packets, which observe the quality of the links and other network metrics, and exploit the information in the establishment of robust multi-hop routes.