In this paper, we focus on the wireless coverage extension and nodes' cooperation. We propose a new protocol based on an incentive approach and a scheduling algorithm in order to reward cooperative nodes. The cost of cooperation can be prohibitively expensive in terms of QoS and energy consumption which does not motivate some nodes to cooperate. Therefore, we introduce a percentage of cooperation and QoS parameters in the scheduling algorithm called CEI in order to incite potential mobile relaying nodes to cooperate and in turn extend the wireless areas. We use the cross-layer approach in order to optimize the QoS parameters. The proposed solution does not only incite the nodes to cooperate but also enhance the QoS by increasing the average throughput and decreasing the delay. The simulation results show that the proposed solution does not only give better results than the well known scheduling algorithms like MaxSNR and WFO but also allows the cooperative mobile nodes to increase their own throughput by around 114%. The total amount of data transmitted out of the cell in order to extend the coverage can be increased by around 59% compared to the scheduling algorithm MaxSNR.

International audienceProviding Quality of Service (QoS) to real time applications over Wireless Local Area Networks (WLANs) is becoming a very challenging task due to the diversity of multimedia applications. Concurrently, there are numerous WLANs devices that are rising recently. Mainly, we focus on IEEE 802.11n since it was designed to support a high data transmission rate (toward 600 Mbps) based on frame aggregation schemes. The aggregation mechanism accumulates many frames before transmitting them into a single larger frame, thus reducing overhead and increasing efficiency and throughput. Yet, this scheme cannot provide QoS satisfaction for delay sensitive application even if it supports higher throughputs. Indeed, aggregation headers cause supplementary delays particularly when aggregating unfrequent packets with small sizes. To overcome this limitation, we propose in this paper a new Dynamic Frame Aggregation (DFA) scheduler to provide QoS satisfaction to real time services. To achieve this goal, we defined new scheduling parameters such as QoS delays to avoid accumulation of non-scheduled packets. Hence, the DFA scheduler serves packets and dynamically adjusts the aggregated frame size based on these QoS delays. Conducted simulations illustrate the performance of our proposed DFA scheduler in term of satisfying QoS, throughput, loss and delay requirements of voice and video traffics

Since the last few years, the Internet of Vehicles (IoV) has gained more interest from the community because of the rapid development of autonomous vehicles, the growing amount of data generated by vehicles' sensors, and the motivation to use this data for different purposes. Given the very dynamic nature of fast moving vehicles, building a network that guarantees the Quality of Service (QoS) is still a challenge. This is why we have developed an original architecture and a programmable objective function to improve QoS on the ever‐changing networks present in the IoV. Simulation results will show that the proposed solution adapts better to mobility by providing better packet delivery ratio up to five times, achieving three times less packet losses and greatly reducing the energy consumption by a factor 10 compared with state of the art solutions, without compromising delay nor throughput usage.