Response surface methodology: 1966–1988
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Neural Networks
Response surface methodology and its application in simulation
WSC '93 Proceedings of the 25th conference on Winter simulation
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Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
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Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
Machine Learning
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Limitations of Equation-Based Congestion Control in Mobile Ad Hoc Networks
ICDCSW '04 Proceedings of the 24th International Conference on Distributed Computing Systems Workshops - W7: EC (ICDCSW'04) - Volume 7
Scalable resilient media streaming
NOSSDAV '04 Proceedings of the 14th international workshop on Network and operating systems support for digital audio and video
Mobilized Ad-Hoc Networks: A Reinforcement Learning Approach
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
Design and Analysis of Experiments
Design and Analysis of Experiments
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EURASIP Journal on Wireless Communications and Networking
IEEE Wireless Communications
Using feedback in collaborative reinforcement learning to adaptively optimize MANET routing
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Journal on Selected Areas in Communications
A transport protocol for supporting multimedia streaming in mobile ad hoc networks
IEEE Journal on Selected Areas in Communications
Factor interaction on service delivery in mobile ad hoc networks
IEEE Journal on Selected Areas in Communications
MAC intelligence for adaptive multimedia in 802.11 networks
IEEE Journal on Selected Areas in Communications
Genetic evolution of the topology and weight distribution of neural networks
IEEE Transactions on Neural Networks
A local view management protocol for network-wide view construction in wireless networks
GIIS'09 Proceedings of the Second international conference on Global Information Infrastructure Symposium
Determining the Representative Factors Affecting Warning Message Dissemination in VANETs
Wireless Personal Communications: An International Journal
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We design a transport protocol that uses artificial neural networks (ANNs) to adapt the audio transmission rate to changing conditions in a mobile ad hoc network. The response variables of throughput, end-to-end delay, and jitter are examined. For each, statistically significant factors and interactions are identified and used in the ANN design. The efficacy of different ANN topologies are evaluated for their predictive accuracy. The Audio Rate Cognition (ARC) protocol incorporates the ANN topology that appears to be the most effective into the end-points of a (multi-hop) flow, using it to adapt its transmission rate. Compared to competing protocols for media streaming, ARC achieves a significant reduction in packet loss and increased goodput while satisfying the requirements of end-to-end delay and jitter. While the average throughput of ARC is less than that of TFRC, its average goodput is much higher. As a result, ARC transmits higher quality audio, minimizing root mean square and Itakura-Saito spectral distances, as well as several parametric distance measures. In particular, ARC minimizes linear predictive coding cepstral (sic) distance, which closely correlates to subjective audio measures.