Adaptive cooperative communications for enhancing QoS in vehicular networks

Osman, Radwa Ahmed; Peng, Xiaohong; Omar, Mohamed

doi:10.1016/j.phycom.2018.08.008

Cited by 20 publications

(18 citation statements)

References 26 publications

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“…The proposed approach is evaluated by five different benchmark metrics which are not all commonly utilized in one specific research paper. Hence, related researches [12,22] are considered for comparison with the proposed model. The proposed model shows how to achieve the optimized required vehicular communication performance through choosing the best inter-vehicle position.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Optimization Problem System Evaluation Metric Investigation Scenario [12] Cooperative communications for a combined V2I with V2V approach.…”

Section: Adopted Techniquementioning

confidence: 99%

“…In the previous work proposed in [12], the combination between V2I and V2V using either multi-hop or cooperative communication was the authors' main focus to improve quality-of-service (QoS) across the vehicular network. Consequently, based on these outcomes, the authors investigate the connectivity between autonomous vehicles-toeverything (AV2X) and its characteristics, and the major contributions of this article are summarized as follows:…”

Section: Introductionmentioning

confidence: 99%

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A Novel Adaptive Approach for Autonomous Vehicle Based on Optimization Technique for Enhancing the Communication between Autonomous Vehicle-to-Everything through Cooperative Communication

Osman

Abdelsalam

2021

Applied Sciences

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Recent autonomous intelligent transportation systems commonly adopt vehicular communication. Efficient communication between autonomous vehicles-to-everything (AV2X) is mandatory to ensure road safety by decreasing traffic jamming, approaching emergency vehicle warning, and assisting in low visibility traffic. In this paper, a new adaptive AV2X model, based on a novel optimization method to enhance the connectivity of the vehicular networks, is proposed. The presented model optimizes the inter-vehicle position to communicate with the autonomous vehicle (AV) or to relay information to everything. Based on the system quality-of-service (QoS) being achieved, a decision will be taken whether the transmitting AV communicates directly to the destination or through cooperative communication. To achieve the given objectives, the best position of the relay-vehicle issue was mathematically formulated as a constrained optimization problem to enhance the communication between AV2X under different environmental conditions. To illustrate the effectiveness of the proposed model, the following factors are considered: distribution of vehicles, vehicle density, vehicle mobility and speed. Simulation results show how the proposed model outperforms other previous models and enhances system performance in terms of four benchmark aspects: throughput (S), packet loss rate (PLR), packet delivery ratio (PDR) and average delivery latency (DL).

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Section: Literature Reviewmentioning

confidence: 99%

“…Optimization Problem System Evaluation Metric Investigation Scenario [12] Cooperative communications for a combined V2I with V2V approach.…”

Section: Adopted Techniquementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Novel Adaptive Approach for Autonomous Vehicle Based on Optimization Technique for Enhancing the Communication between Autonomous Vehicle-to-Everything through Cooperative Communication

Osman

Abdelsalam

2021

Applied Sciences

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“…Next, a stochastic geometry and point process theory was implemented to establish the profit models for both base stations and roadside units [ 20 ]. For improving the quality of service (QoS) across vehicular communications, a model was proposed, based on cooperative communications for a combined vehicle-to-infrastructure (V2I) system in which vehicle-to-vehicle communication was elaborated to increase the system’s reliability and transmission efficiency [ 21 , 22 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Novel Road Traffic Management Strategy for Rapid Clarification of the Emergency Vehicle Route Based on V2V Communications

Osman

Zaki

Abdelsalam

2021

Sensors

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Vehicle-to-vehicle communication is a promising paradigm that enables all vehicles in the traffic road to communicate with each other to enhance traffic performance and increase road safety. Through vehicle-to-vehicle (V2V) communication, vehicles can understand the traffic conditions based on the information sent among vehicles on the road. Due to the potential delay caused by traffic jams, emergency vehicles may not be able to reach their destination in the required time, leading to severe losses. The case is more severe especially in developing countries where no emergency-vehicle-dedicated lanes are allocated. In this study, a new emergency vehicle route-clarifying strategy is proposed. The new clarifying strategy is based on vehicular traffic management in different interference medium scenarios. The proposed model aims, through V2V communication, to find the nearest vehicle with which to communicate. This vehicle plays an important role in reducing the travel time: as the emergency message is received, this vehicle will immediately communicate with all the neighboring vehicles on the road. Based on V2V communications, all the vehicles in the road will clear from the lane in the road for the emergency vehicle can safely reach its destination with the minimum possible travel time. The maximum distance between the emergency vehicle and the nearest vehicle was determined under different channel conditions. The proposed strategy applied an optimization technique to find the varied road traffic parameters. The proposed traffic management strategy was evaluated and examined through different assumptions and several simulation scenarios. The obtained results validated the effectiveness and the accuracy of the proposed model, and also indicated significant improvement in the network’s performance in terms of packet delivery ratio (PDR) and average end-to-end delay (E2E).

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“…The vehicles should decide how wide a spectrum band is needed and for how long. When multiple vehicles offload the tasks simultaneously, the vehicles perform data transmission in different spectrum bands via OFDMA technology, same as the IEEE standard 802.11p/D3.0 for vehicular networks [37], [38], no mutual interference among different spectrum bands exists.…”

Section: A Framework Of Vecnmentioning

confidence: 99%

Efficient Mobility-Aware Task Offloading for Vehicular Edge Computing Networks

et al. 2019

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Vehicular networks are facing the challenges to support ubiquitous connections and high quality of service for numerous vehicles. To address these issues, mobile edge computing (MEC) is explored as a promising technology in vehicular networks by employing computing resources at the edge of vehicular wireless access networks. In this paper, we study the efficient task offloading schemes in vehicular edge computing networks. The vehicles perform the offloading time selection, communication, and computing resource allocations optimally, the mobility of vehicles and the maximum latency of tasks are considered. To minimize the system costs, including the costs of the required communication and computing resources, we first analyze the offloading schemes in the independent MEC servers scenario. The offloading tasks are processed by the MEC servers deployed at the access point (AP) independently. A mobility-aware task offloading scheme is proposed. Then, in the cooperative MEC servers scenario, the MEC servers can further offload the collected overloading tasks to the adjacent servers at the next AP on the vehicles' moving direction. A location-based offloading scheme is proposed. In both scenarios, the tradeoffs between the task completed latency and the required communication and computation resources are mainly considered. Numerical results show that our proposed schemes can reduce the system costs efficiently, while the latency constraints are satisfied.

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Adaptive cooperative communications for enhancing QoS in vehicular networks

Cited by 20 publications

References 26 publications

A Novel Adaptive Approach for Autonomous Vehicle Based on Optimization Technique for Enhancing the Communication between Autonomous Vehicle-to-Everything through Cooperative Communication

A Novel Adaptive Approach for Autonomous Vehicle Based on Optimization Technique for Enhancing the Communication between Autonomous Vehicle-to-Everything through Cooperative Communication

Novel Road Traffic Management Strategy for Rapid Clarification of the Emergency Vehicle Route Based on V2V Communications

Efficient Mobility-Aware Task Offloading for Vehicular Edge Computing Networks

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