An introduction to genetic algorithms
An introduction to genetic algorithms
The Vision of Autonomic Computing
Computer
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Multicasting in mobile ad-hoc networks: achieving high packet delivery ratios
CASCON '03 Proceedings of the 2003 conference of the Centre for Advanced Studies on Collaborative research
Organic Computing - A New Vision for Distributed Embedded Systems
ISORC '05 Proceedings of the Eighth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing
Optimizing parameters of a mobile ad hoc network protocol with a genetic algorithm
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Efficient simulation of large-scale p2p networks: packet-level vs. flow-level simulations
Proceedings of the second workshop on Use of P2P, GRID and agents for the development of content networks
Zcs: A zeroth level classifier system
Evolutionary Computation
Classifier fitness based on accuracy
Evolutionary Computation
Organic Computing - Addressing Complexity by Controlled Self-Organization
ISOLA '06 Proceedings of the Second International Symposium on Leveraging Applications of Formal Methods, Verification and Validation
Organic Control of Traffic Lights
ATC '08 Proceedings of the 5th international conference on Autonomic and Trusted Computing
Adaptive control of sensor networks
ATC'10 Proceedings of the 7th international conference on Autonomic and trusted computing
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In recent years communication protocols have shown an increasing complexity --- especially by considering the number of variable parameters. As the performance of the communication protocol strongly depends on the configuration of the protocol system, an optimal parameter set is needed to ensure the best possible system behaviour. This choice does not have a static character as the environment changes over time and the influencing factors of the optimisation are varying. Due to this dynamic environment an adaptation depending on the current situation on the particular node within a communication network is needed. This paper introduces an Organic Network Control system which is able to cover this task and it also demonstrates the strengths of the proposed approach by applying the system to a Peer-to-Peer protocol and evaluating the achieved results.