Assessment and improvement of quality of service in wireless networks using fuzzy and hybrid genetic-fuzzy approaches

Saraireh, Mohammad; Saatchi, Reza; Al-Khayatt, Samir; Strachan, Rebecca

doi:10.1007/s10462-008-9090-5

Cited by 13 publications

(10 citation statements)

References 9 publications

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“…Mohammad et al [12] applied Fuzzy logic technique to improve the quality of service in the audio and video applications. Parameters like delay, jitter, throughput, packet loss and both are combined into a single value that is the input of fuzzy inference system.…”

Section: K Santhi K Thinakaranmentioning

confidence: 99%

Fuzzy Logic Based Raodv Routing Protocol

2019

IJRTE

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Fuzzy Logic system comes as a very efficient and important tool that is used to make intelligent decisions when inadequate data is available. This research work is focused on the enhancement of Fuzzy based RAODV routing protocol. It is very efficient to select the optimal paths for data packet transmission between source and desitnation node and also increse the network life time. Fuzzy Logic control is generally designed on three fuzzy variables of energy, hop count and queue length which is also enhance the rule of Fuzzy logic to improve the lifetime of the network. Optimal paths are traced and selected which is depends on these fuzzy variables, used to improvise and enhance the process of Reverse Ad hoc on Demand Distance Vector (RAODV) routing protocol and also helpful to improve the lifetime of the network. NS2 Simulator are used to analyze the concert of RAODV and Fuzzy based Reverse Ad hoc on demand Distance Vector (FRAODV) routing protocol which is based on packet size and round time of network using the parameters of Packet delivery ratio, energy consumption and end to end delay , performance results shows that FRAODV is more accomplished and improves the lifetime of the network.

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Section: K Santhi K Thinakaranmentioning

confidence: 99%

Fuzzy Logic Based Raodv Routing Protocol

2019

IJRTE

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“…The Wireshark network monitoring captured RTP packets (installed on two of the PCs) that were sorted using their sequence numbers to determine end-to-end delay, jitter, and percentage packet loss ratio as outlined below [27][28][29].…”

Section: Network Traffic Parametersmentioning

confidence: 99%

Fuzzy Logic and Regression Approaches for Adaptive Sampling of Multimedia Traffic in Wireless Computer Networks

2018

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Organisations such as hospitals and the public are increasingly relying on large computer networks to access information and to communicate multimedia-type data. To assess the effectiveness of these networks, the traffic parameters need to be analysed. Due to the quantity of the data packets, examining each packet's transmission parameters is not practical, especially in real time. Sampling techniques allow a subset of packets that accurately represents the original traffic to be examined and they are thus important in evaluating the performance of multimedia networks. In this study, an adaptive sampling technique based on regression and a fuzzy inference system was developed. The technique dynamically updates the number of packets sampled by responding to the traffic's variations. Its performance was found to be superior to the conventional nonadaptive sampling methods.

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“…An assessment and QoS improvement in wireless networks using hybrid genetic-fuzzy approaches was investigated by Saraireh, et al , [15] . This indicated that devised methods effectively assessed and significantly improved QoS in wireless networks.…”

Section: Literatue Reviewmentioning

confidence: 99%

A hybrid genetic fuzzy approach for power control cross layer MAC protocol in wireless network

Reddy.

Subramanyam²,

Satyaprasad

2015

2015 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)

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The battery powered wireless hosts have limited energy. Hence, energy aware techniques with power saving mechanisms are resorted to conserve energy ofnodes in wireless networks. Power based connectivity is an ad hoc implements power control mechanisms to enhance network life by improving throughput, locating cost effective routes and spatial reuse. This study uses MAC protocol to implement coordination functions and power control mechanisms through Genetic A1gorithm (GA). Upper network layers generated Fuzzy rules using two input variables like link quality and node neighborhood count; with optimal power consumption level as an output variable. Experiments with GA fuzzy rules are compared with Dynamic Sour ce Routing (DSR) routing and two hop power control methods. The results reveal that the two hop power control with GA fuzzy logic method lowers route discovery time, increases cache replies, minimizes simulation time and end to end delay in contrast to DSR routing and two hop routing protocols.

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Assessment and improvement of quality of service in wireless networks using fuzzy and hybrid genetic-fuzzy approaches

Cited by 13 publications

References 9 publications

Fuzzy Logic Based Raodv Routing Protocol

Fuzzy Logic Based Raodv Routing Protocol

Fuzzy Logic and Regression Approaches for Adaptive Sampling of Multimedia Traffic in Wireless Computer Networks

A hybrid genetic fuzzy approach for power control cross layer MAC protocol in wireless network

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