Yosra Mallat

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Sami Tabaane

Ayadi Mohamed

Egyptian Atomic Energy Authority

Mohamed Ayadi

University of Hassan II Casablanca

Mohamed Ayadi

Aymen Ayari

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University of Hassan II Casablanca

Institut Supérieur des Études Technologiques en Communications de Tunis

University of Carthage

Aalborg University

Dwarkadas J. Sanghvi College of Engineering

École Normale Supérieure - PSL

Egyptian Atomic Energy Authority

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コグニティブ無線アドホックネットワークにおける認知QoS(サービス品質)に需要ルーティングプロトコル(CO QORP)【Powered by NICT】

IEEE Conference Proceedings (2016)

Yosra Mallat Mohamed Ayadi Sami Tabaane

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QOS for cognitive radio Ad Hoc Networks

Yosra Mallat Ayadi Mohamed Sami Tabaane

A routing protocol, in Cognitive Radio Network (CRN), is a new concept to improve performance in this network. It is used to establish correct and efficient route between two nodes. OLSR (Optimized Link State Routing) protocol is an optimization of the classical link state protocol in Ad Hoc Networks. We introduce the QoS (Quality of Service) routing mechanism for OLSR protocol, QOLSR (QoS OLSR). We use some metrics measurements to improve quality constrains in routing information. In this work, we present an efficient routing solution, Cognitive routing protocol named CO-QOLSR (Cognitive-QoS Optimized Link State Routing). It is based on the traditional OLSR protocol. The utilization of CO-QOLSR protocol gives an important performance in terms of delay, bandwidth. It is evaluated by OPNET 14.5 Simulator. Simulation results show that our proposal approach represent an important improvement in such mobile wireless networks in terms of QoS performance.

Zone Routing Protocol

10.1109/isivc.2016.7894018

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ネットワークコグニティブ無線アドホックのためのQoS【Powered by NICT】

IEEE Conference Proceedings (2016)

Yosra Mallat Mohamed Ayadi Sami Tabaane

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QoS/QoE-CAODV: Routing Protocol for Cognitive Radio Ad-Hoc Network

Yosra Mallat Mohamed Ayadi Aymen Ayari Sami Tabaane

Cognitive radio (CR) technology plays a major rolein managing the spectrum resources and allocating themaccording to the requirements of the users. Few recent worksfocused on the problem of routing in cognitive networks. Werecommend an adaptation of on-demand routing since itsperformance has been proven to CRAHNs (Cognitive RadioAd Hoc Networks). As an example, we can find the CognitiveAd hoc On demand Distance Vector (CAODV). This protocolis based on AODV protocol. The main drawback of thisprotocol is that it doesn't support the degree of influence of theQuality of Service (QoS) parameters on the user perception. Then, a novel routing metric should be defined to optimize theuse of QoS mechanisms in relation to the user's Quality ofExperience (QoE) in the routing mechanisms. In this paper, wepropose to develop and implement a new protocol, calledQoS/QoE-CAODV, that integrate the QoS and QoE adaptionmechanisms in cognitive on demand routing protocol. Theperformances of QoS/QoE-CAODV protocol have beenevaluated by numerical simulations (OPNET 14.5). We haveobserved from results that the QoS/QoE-CAODV protocolprovides better performance in term of MOS (Mean OpinionScore), end-to-end delay, Delay variations and jitter parameters.

Zone Routing Protocol

10.1109/waina.2016.33

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Cognitive QoS-on demand routing protocol (CO-QORP) in cognitive radio Ad-hoc network

2022 International Symposium on Networks, Computers and Communications (ISNCC) (2016)

Yosra Mallat Ayadi Mohamed Sami Tabaane

Cognitive Radio (CR) presents a new approach to wireless spectrum utilization. A big number of Routing Protocols for Cognitive Radio Ad Hoc Networks (CRAHNs) have been proposed to increase the efficiency of spectrum utilization. These protocols don't maintain the QoS mechanisms. Many revisions are done to the CRAHN protocols to meet QoS challenges focused on bandwidth, end to end delay, total packets dropped. So, we propose to develop and implement a new algorithm CO-QORP (Cognitive QoS On demand Routing Protocol) that integrates the QoS adaption mechanism in Cognitive On demand Routing Protocol. From the simulation results, it is observed that the CO-QORP provides better performance. Numerical simulations validate the proposed protocol (OPNET 14.5).

Zone Routing Protocol

10.1109/isncc.2016.7746096

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Performance evaluation of QoS-CAODV, CAODV routing protocol in Cognitive Radio ad-hoc network

Yosra Mallat Aymen Ayari Mohamed Ayadi Sami Tabaane

A large number of routing protocols for Cognitive Radio (CR) have been recently proposed to improve the efficiency of spectrum utilization. As an example, we can find the Cognitive Ad hoc On demand Distance Vector (CAODV). This protocol is based on AODV one and uses an on-demand approach for finding routes to which the principals of regions activity avoidance of the Primary User (PU) has been added during the packet transfer. The main drawback of this protocol is that it doesn't support the Quality of Service (QoS) mechanisms. In this paper, we propose to develop, implement and test a new protocol that integrate the QoS adaption mechanism in cognitive on demand routing protocol. The new protocol, called QoS-CAODV, is a combination of QoS-AODV and CAODV. The performances of QoS-CAODV protocol have been evaluated by numerical simulations (OPNET 14.5). We have observed from results that the QoS-CAODV protocol provides better performance in term of average throughput, end-to-end delay and gives the smallest number of dropped packets.

Zone Routing Protocol

Distance-vector routing protocol

10.1109/softcom.2015.7314112

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QSTOD on-demand routing protocol for cognitive radio ad-hoc networks

Yosra Mallat Ayadi Mohamed Sami Tabaane

To have a successful communication in Ad Hoc networks, Cognitive Radio (CR) can funding a flexible utilization of wireless radio spectrums. Routing Protocol is a significant problem in CRNs. Some routing protocol is based on different scenarios and it should incorporate QoS parameters in route definition to support QoS performance. Some revisions are done to the Cognitive Radio Ad Hoc network (CRAHN) protocols to satisfy QoS challenges such us bandwidth, delay, Packet delivery Ratio. So, we propose to develop some Cognitive Routing Protocols that integrate the QoS mechanisms. The performance of our work is calculated by simulations (OPNET 14.5 simulator). The results show that the QoS Cognitive Routing Protocols improved performance in term of delay, Route Discovery Time and throughput.

Zone Routing Protocol

10.1109/atsip.2016.7523175

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