Toward Intelligent Fuzzy QoS Model in Wireless Ad Hoc Networks

Abstract : On the other hand, the advance in the field of artificial intelligence and the progress in its application in telecommunications, and the growing scientific interest in ad hoc networks are reasons to think about coexistence and interoperability among these two areas. In the past few years, some intelligent methods have been successfully applied in the wireless networks with the aim to obtain more adaptive and flexible QoS models over the existing models. This chapter focuses on the cross layer QoS model (i.e., frameworks for achieving QoS over multiple layers). It presents two model-categories of QoS provisioning in MANETs: “conventional QoS models” that are based on traffic engineering mechanisms and QoS optimization techniques, and “intelligent QoS models” that exploit the efficiency of intelligent learning theories such as Fuzzy Logic control in wireless networks. Then, it proposes an intelligent fuzzy logic QoS model to deal with the buffer management and traffic regulation issues in MANET. The fuzzy logic theory control promises to be an efficient solution and may constitute a best alternative to the conventional methods, based on the complex optimization and overloaded traffic engineering mechanisms.
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Submitted on : Friday, August 30, 2019 - 11:12:15 AM
Last modification on : Thursday, October 3, 2019 - 9:42:04 AM

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  • HAL Id : hal-02274810, version 1

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Lyes Khoukhi, Ali El-Masri, Dominique Gaïti. Toward Intelligent Fuzzy QoS Model in Wireless Ad Hoc Networks. Wireless Multi-Access Environments and Quality of Service Provisioning, IGI Global, pp.218-244, 2012. ⟨hal-02274810⟩

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