Multiple QoS Parameters-Based Routing for Civil Aeronautical Ad Hoc Networks

Luo, Qin; Wang, Junfeng

doi:10.1109/jiot.2017.2669993

Cited by 49 publications

(29 citation statements)

References 31 publications

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“…Furthermore, Sakhaee [8] integrated a QoS constraint into the cost metric of the routing protocol in his PhD dissertation. Luo et al [163] further developed a QoS-based routing protocol by taking into account the path availability period, the residual path capacity and the path latency in their route selection. Iordanakis et al [164] proposed an ad hoc routing protocol for aeronautical mobile ad hoc networks by combining the proactive function of ad hoc on-demand distance vector and the reactive function of topology broadcast based on reverse-path forwarding [165].…”

Section: B Scheduling and Routingmentioning

confidence: 99%

Aeronautical $Ad~Hoc$ Networking for the Internet-Above-the-Clouds

Chen²,

et al. 2019

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The engineering vision of relying on the "smart sky" for supporting air traffic and the "Internet above the clouds" for in-flight entertainment has become imperative for the future aircraft industry. Aeronautical ad hoc Networking (AANET) constitutes a compelling concept for providing broadband communications above clouds by extending the coverage of Air-to-Ground (A2G) networks to oceanic and remote airspace via autonomous and self-configured wireless networking amongst commercial passenger airplanes. The AANET concept may be viewed as a new member of the family of Mobile ad hoc Networks (MANETs) in action above the clouds. However, AANETs have more dynamic topologies, larger and more variable geographical network size, stricter security requirements and more hostile transmission conditions. These specific characteristics lead to more grave challenges in aircraft mobility modeling, aeronautical channel modeling and interference mitigation as well as in network scheduling and routing. This paper provides an overview of AANET solutions by characterizing the associated scenarios, requirements and challenges. Explicitly, the research addressing the key techniques of AANETs, such as their mobility models, network scheduling and routing, security and interference are reviewed. Furthermore, we also identify the remaining challenges associated with developing AANETs and present their prospective solutions as well as open issues. The design framework of AANETs and the key technical issues are investigated along with some recent research results. Furthermore, a range of performance metrics optimized in designing AANETs and a number of representative multi-objective optimization algorithms are outlined.

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Section: B Scheduling and Routingmentioning

confidence: 99%

Aeronautical $Ad~Hoc$ Networking for the Internet-Above-the-Clouds

Chen²,

et al. 2019

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“…Another version of this mobility model has been proposed in [183], which tries to mimic the microscopic movements of the users [184]. This mobility model, which is called the Semi-Markov Smooth (SMS), does not consider the existing obstacles of the area; hence, its best use cases will be modeling the aviation applications, e.g., airliners [185], [186]. The Semi-Markov Smooth mobility model is also a good option for modeling the movement pattern of fishing vessels, which try to establish their trip from the shore towards the fishing zones [187].…”

Section: ) Smooth Mobility Model [71]mentioning

confidence: 99%

Impacts of Mobility Models on RPL-Based Mobile IoT Infrastructures: An Evaluative Comparison and Survey

et al. 2020

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With the widespread use of IoT applications and the increasing trend in the number of connected smart devices, the concept of routing has become very challenging. In this regard, the IPv6 Routing Protocol for Low-power and Lossy Networks (PRL) was standardized to be adopted in IoT networks. Nevertheless, while mobile IoT domains have gained significant popularity in recent years, since RPL was fundamentally designed for stationary IoT applications, it could not well adjust with the dynamic fluctuations in mobile applications. While there have been a number of studies on tuning RPL for mobile IoT applications, but still there is a high demand for more efforts to reach a standard version of this protocol for such applications. Accordingly, in this survey, we try to conduct a precise and comprehensive experimental study on the impact of various mobility models on the performance of a mobility-aware RPL to help this process. In this regard, a complete and scrutinized survey of the mobility models has been presented to be able to fairly justify and compare the outcome results. A significant set of evaluations has been conducted via precise IoT simulation tools to monitor and compare the performance of the network and its IoT devices in mobile RPL-based IoT applications under the presence of different mobility models from different perspectives including power consumption, reliability, latency, and control packet overhead. This will pave the way for researchers in both academia and industry to be able to compare the impact of various mobility models on the functionality of RPL, and consequently to design and implement application-specific and even a standard version of this protocol, which is capable of being employed in mobile IoT applications.

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“…In addition, there is a lack of connectivity in isolated regions such as wide deserts and oceans where there are no ground transmitters are available. Another solution for aircraft Internet provision uses air-to-air (A2A) connectivity through aeronautical ad hoc network (AANET) which has been proposed to provide aircraft with Internet above clouds [19][20][21][22][23]. In AANET, the in-flight aircrafts are interconnected to spread the connectivity among them in an ad-hoc manner with enhanced capacity relative to ATG.…”

Section: Related Workmentioning

confidence: 99%

Modelling, Investigation, and Feasibility of Stratospheric Broadband mm-Wave 5G and beyond Networks for Aviation

Albagory

2020

Electronics

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Recent advances in communication systems provide an enabling technology for aircraft connection and safety. A promising communication system that uses stratospheric platforms provides an efficient and improved communication performance and can be an efficient solution for establishing communication networks for aviation. Therefore, in this paper, a novel communication network based on stratospheric basestation (SB) is proposed to provide fifth-generation (5G) and beyond services for civil aviation aircrafts to improve global flight connectivity, control, and safety. The proposed aircraft–SB network is demonstrated, and its coverage geometry is modelled and investigated. As the 5G and beyond networks use millimeter wave frequency bands (mm-wave), the performance of different atmospheric losses including gaseous absorption, rain, and fog/cloud is analyzed to investigate the system’s practical feasibility at different 5G proposed frequencies ranging from 3.5 to 66 GHz through a flight model including three distinct stages which are takeoff/landing, climbing/descending, and cruise stages. Also, handover scenarios in the proposed aircraft–SB network are investigated and analyzed at the proposed 5G frequencies. In addition, the aircraft–SB 5G network is compared to the most recent low-Earth orbit (LEO) Internet satellites where the proposed system is expected to provide low latency, less atmospheric attenuation, longer aircraft–SB link duration, and very low handover rate.

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Multiple QoS Parameters-Based Routing for Civil Aeronautical Ad Hoc Networks

Cited by 49 publications

References 31 publications

Aeronautical $Ad~Hoc$ Networking for the Internet-Above-the-Clouds

Aeronautical $Ad~Hoc$ Networking for the Internet-Above-the-Clouds

Impacts of Mobility Models on RPL-Based Mobile IoT Infrastructures: An Evaluative Comparison and Survey

Modelling, Investigation, and Feasibility of Stratospheric Broadband mm-Wave 5G and beyond Networks for Aviation

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