Ghayet El Mouna Zhioua

A Fuzzy Multi-Metric QoS-Balancing Gateway Selection Algorithm in a Clustered VANET to LTE Advanced Hybrid Cellular Network

Intelligent transportation systems are currently attracting the attention of the research community and the automotive industry, which both aim to provide not only more safety in the transportation systems but other high-quality services and applications for their customers as well. In this paper, we propose a cooperative traffic transmission algorithm in a joint vehicular ad hoc network-Long Term Evolution Advanced (LTE Advanced) hybrid network architecture that elects a gateway to connect the source vehicle to the LTE Advanced infrastructure under the scope of vehicle-to-infrastructure (V2I) communications. The originality of the proposed fuzzy quality-of-service (QoS)-balancing gateway selection (FQGwS) algorithm is the consideration of QoS traffic class constraints for electing the gateway. Our algorithm is a multicriteria and QoS-based scheme optimized by performing the fuzzy logic to make the decision on the appropriate gateway. Criteria are related to the received signal strength (RSS) and load of the cluster head (CH) and gateway candidates (GwCs), as well as the vehicle-to-vehicle link connectivity duration (LCD). Simulation results demonstrate that our algorithm gets better results than the deterministic scheme for gateway selection. Moreover, results show the efficiency of the FQGwS algorithm as it adapts its gateway selection decision to the cluster density and the relative velocity of the source node.

LTE Advanced Relaying Standard: A Survey

Long term evolution (LTE) Advanced is a well designed system that meets the requirements of 4G cellular systems. Its standard specification has been lately released. One of its main features is supporting relaying topology inspired from ad hoc multihop networks. This paper is a survey upon the relaying architecture of LTE Advanced standard based on 3GPP Release 10 specifications. A comparison with other relaying architectures, i.e. IEEE 802.16m and IEEE 802.11s is handled. The originality of this work is in involving comparison with multihop architecture supported by IEEE 802.11s based wireless mesh networks. Several similarities are noted and differences are pointed out.

A multi-metric QoS-balancing scheme for gateway selection in a clustered hybrid VANET network

In this paper, we propose a cooperative traffic transmission algorithm in a joint cellular and mobile ad hoc hybrid network architecture. The mobile ad hoc network is based on IEEE 802.11p standard. The focus of this paper is on defining an algorithm aiming to select the appropriate gateway for a given source vehicle under the scope of V2I communications. In this work, we consider the LTE Advanced infrastructure. We propose a multi-criteria and attribute scheme used to make a decision over the appropriate gateway to connect a source vehicle to the LTE Advanced infrastructure. It is a QoS-balancing gateway selection algorithm where the decision over the gateway depends on the traffic to be transmitted to the infrastructure. Other criteria are also considered such as loads, Received Signal Strengths (RSS) and Link Connectivity Durations of the cluster head and other gateway candidates. Simulation results demonstrate that our algorithm makes efficient decisions for electing the appropriate gateway that fits best the cluster and infrastructure features. An improvement of the RSS and the Link Connectivity Durations, while comparing to the commonly used gateway selection scheme, is noted.

VOPP: A VANET offloading potential prediction model

In this work, we investigate upon the potential of considering the Intelligent Transportation Systems (ITS) for cellular traffic offloading as an alternative to Wi-Fi and femtoCells approaches. We propose an analytical study based on an optimization problem formulation called VOPP where the objective is to elect the maximum number of data flows that could be routed to the downloaders through the Vehicular Network (VANET). VOPP considers the link availability between the infrastructure and the downloader, the medium contention, interferences, data volume, gateways capacity and the channel aggregation to evaluate the VANET capacity to support additional traffics. Numerical results of our analytical approach show that the data offloading fraction is closely tied to the data volume of the flows and to the vehicles positions and VANET topology.

VANET Inherent Capacity for Offloading Wireless Cellular Infrastructure: An Analytical Study

Due to the high user traffic demand increase, offloading cellular traffic through other kinds of networks, such as Wi-Fi hotspots and femtoCells has been highly studied. In this paper, we investigate upon the possibility to use Vehicular ad hoc Networks (VANETs) for the offloading the cellular infrastructure. We present an analytical study based on an optimization problem formulation where the aim is to select a maximum target set of flows that could be routed to the destination downloader node through the VANET network. The offloading decision considers the vehicular link availability, channel load by considering medium contention, vehicle to vehicle link quality and the link connectivity duration between the VANET node and the road side unit. Simulation results of our analytical approach show that the data offloading fraction is closely affected by the data volume of the flows, the channel load and by the link quality. Results show also that the offload of best effort data traffics could reach 100 percent for low data volumes.

A traffic QoS aware approach for cellular infrastructure offloading using VANETs

Offloading a part of cellular traffic through other kinds of networks, such as Wi-Fi hotspots and femtoCells represents an interesting solution for operators to cope with the high user traffic demand increase. In this paper, we propose to use the Vehicular ad hoc Networks (VANETs) for the same purpose. We present an analytical study based on an optimization problem formulation to evaluate the potential of VANET to vehicle part of the cellular traffic. The offloading decision considers several constraints related to vehicle-to-infrastructure link availability, channel and medium contention, vehicle-to-vehicle link capacity and quality, data flows volume and the link connectivity duration between the vehicle and the road side unit. Moreover, the originality of this work is the consideration of flows service class in the offloading decision. Numerical results show that the data offloading fraction is closely affected by the data volume of the flows and by vehicular link quality. Results show also that best effort and background traffics have more priority to be offloaded than the video streaming traffics.

An efficient qos based gateway selection algorithm for VANET to LTE advanced hybrid cellular network

In this paper, we address the gateway selection issue in a hybrid system composed of a VANET network and a 4G LTE Advanced infrastructure. The VANET network is structured via a clustering scheme. Our algorithm is based on a multi-criteria and QoS related attributes approach used to make a decision of the appropriate gateway that might be used to connect a source vehicle to the LTE Advanced infrastructure. Considered criteria for making the decision include load, Received Signal Strength and Link Connectivity Duration of the cluster head and other candidate gateways. Simulation results demonstrate that our algorithm makes efficient decisions for electing the appropriate gateway with the best VANET and infrastructure features.

A load and QoS aware scheduling algorithm for multi-channel multi-radio wireless mesh networks

The great potential of Wireless Mesh Networks (WMNs) is their autonomy of being built and formed without the need of any infrastructure. An IEEE 802.11s standard draft has been lately designed to define the WMNs framework and architecture. Multi-channel multi-radio wireless mesh networks (MCMR WMNs) have been introduced to improve system performance. However, interfaces and channels management in MCMR WMNs becomes essential to achieve the network performances rise. In this paper, we propose a solution that defines a MAC layer module named Interface Management Module (IMM) under a hybrid channel assignment. The IMM manage the multi-channel radio interface based on scheduling algorithms. A dynamic scheduling algorithm has been proposed. The algorithm is based on traffic profiling and dynamic weights computing for channels scheduling.

Cellular Content Download through a Vehicular Network: I2V Link Estimation

Cellular networks are facing serious traffic overload problems due to the high users traffic demands, emphasized by the important penetration of smart phones and their greedy applications. The originality of this paper is to investigate upon the use of Intelligent Transportation Systems (ITS) for offloading the cellular infrastructure. We provide an analytical study based on an optimization problem formulation where the aim is to select a maximum target set of flows to route through the Vehicular Ad hoc Network (VANET). Offloading decision considers the VANET link availability, channel load (using contention), vehicle to vehicle link quality and the maximum volume that could be offloaded from the road side unit to the vehicular nodes. Simulation results show that the data offloading fraction is closely tied to the data volume of the flows, to the channel load and to the path quality. Results show also that 100% of best effort data traffics could be offloaded in some specific scenarios.

FQGwS: A gateway selection algorithm in a hybrid clustered VANET LTE-advanced network: Complexity and performances

In this paper, we propose a cooperative traffic transmission algorithm in a joint cellular and vehicular ad hoc hybrid network architecture. We focus on defining an algorithm aiming to select the appropriate gateway for a given source vehicle under the scope of vehicle to infrastructure communications. We consider the LTE Advanced infrastructure and propose a multi-criteria and attribute scheme named FQGwS algorithm. It is a QoS-balancing gateway selection algorithm where the decision over the gateway depends on the class of traffics to be transmitted to the infrastructure. A study of the complexity and the convergence of the algorithm is handled. Moreover, simulation results show that the packet loss is always lower than 1% and that the average delay never exceeds the delay constraint of the QoS class unlike when using the deterministic scheme.