Prevention of deadlocks and livelocks in lossless backpressured packet networks
IEEE/ACM Transactions on Networking (TON)
IEEE Transactions on Wireless Communications
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Fuzzy control is based on fuzzy logic, which provides an efficient method to handle inexact information as a basis of reasoning. With fuzzy logic it is possible to convert knowledge, which is expressed in an uncertain form, to an exact algorithm. In fuzzy control, the controller can be represented with if-then rules. The interpretation of the controller is fuzzy but the controller is processing exact input-data and is producing exact output-data in a deterministic way. However, Backoff time computation schemes, namely: pseudorandom backoff (PB) time, exponential backoff (EB) time and random backoff (RB) time that are applicable in waiting time re-arrangement in queue. They have proved to be inefficient in coping with the conflicting requirements, that is, low dropping frames and high conforming frames. This led us to explore alternative solutions based on artificial intelligence techniques, specially, in the field of fuzzy logic. In this paper, we propose a fuzzy control backoff scheme that aims at detecting violations of parameter negotiated. We evaluate and compare the performance of fuzzy control backoff scheme (FB) with namely, pseudorandom backoff scheme (PB), random backoff scheme (RB) and exponential backoff scheme (EB). The performance of four backoff schemes have been investigated by the fluctuation of telecommunication traffic stream (burst/silent type). Simulation results show that the fuzzy control scheme helps improve performance of our re-arrangement waiting time in queue compared to other non-fuzzy backoff schemes.