Improving 802.11p for Delivery of Safety-Critical Navigation Information in Robot-to-Robot Communication Networks

Gielis, Jennifer; Prorok, Amanda

doi:10.1109/mcom.001.2000545

Cited by 17 publications

(13 citation statements)

References 10 publications

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“…The definition of a communication interface for an mUAV communication system should take into account the specificity of these networks, which includes low delay tolerance, need for high-throughput maintenance, and link quality instability caused by the higher mobility of communication nodes constituted by UAVs (Shi et al, 2019;Skorobogatov et al, 2020). For that, some authors have concentrated their efforts on the use of a single communication standard, applying cognitive radio techniques in order to serve these networks; for example, by reusing white space slots during communication for management or increasing the number of hops between nodes (Yanmaz et al, 2014;Raimundo et al, 2018;Gielis and Prorok, 2021).…”

Section: Proposed Classification For Multi-uav Communications Solutionsmentioning

confidence: 99%

Performance Evaluation of Different ToS Using Heterogeneous Communication Interfaces in FANETs

Ribeiro

Müller

Becker

2022

Front. Future Transp.

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The use of different types-of-services (ToS), such as voice, data, and video, has become increasingly present in the execution of applications involving networks composed of multiple UAVs. These applications usually require the UAVs to share different ToS in a dynamic and ad-hoc manner, such that they can support the execution of cooperative/collaborative tasks. The use of heterogeneous communication has showed gains in maintaining the connection among highly mobile nodes, while increasing the reliable transmission of data, as is necessary in MANETS, VANETs and, more recently, FANETs. The aim of this paper is to present a performance evaluation of a heterogeneous interface manager (IM), which applies a heuristic to choose the best among several single- and multi-band wireless communication interfaces, including IEEE 802.11n, IEEE 802.11p, IEEE 802.11ac, and IEEE 802.11ax. Simulated scenarios with three, five, and eight UAV nodes are developed by integrating NS-3 and Gazebo simulation tools. The IM performance is analyzed by applying different numbers of interfaces and comparing with interfaces applied homogeneously by defining two set of results, in terms of application and MAC and PHY metrics, respectively. Finally, we also evaluate the associated performance, considering voice, data, and video streaming ToS. The results indicate that the combination of different interfaces has a very powerful effect on maintaining or increasing the communication intensity.

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Section: Proposed Classification For Multi-uav Communications Solutionsmentioning

confidence: 99%

Performance Evaluation of Different ToS Using Heterogeneous Communication Interfaces in FANETs

Ribeiro

Müller

Becker

2022

Front. Future Transp.

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“…Explicit communication methods generally assume that robots can broadcast information within a local neighborhood that comprises of tens to hundreds of individuals, or that a fixed network infrastructure is available. Yet, in reality, densely populated workspaces adversely affect communication capabilities because of practical contention over channel bandwidth and airtime [21]. Such networks are additionally burdened by clutter that can induce signal fading, leading to a drastic decrease in the expected communication range.…”

confidence: 99%

A Critical Review of Communications in Multi-Robot Systems

Gielis¹,

Singh²,

Prorok³

2022

Preprint

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Purpose of Review. This review summarizes the broad roles that communication formats and technologies have played in enabling multi-robot systems. We approach this field from two perspectives: of robotic applications that need communication capabilities in order to accomplish tasks, and of networking technologies that have enabled newer and more advanced multi-robot systems. Recent Findings. Through this review, we identify a dearth of work that holistically tackles the problem of co-design and co-optimization of robots and the networks they employ. We also highlight the role that data-driven and machinelearning approaches play in evolving communication pipelines for multi-robot systems. In particular, we refer to recent work that diverges from hand-designed communication patterns, and also discuss the 'sim-to-real' gap in this context. Summary. We present a critical view of the way robotic algorithms and their networking systems have evolved, and make the case for a more synergistic approach. Finally, we also identify four broad Open Problems for research and development, while offering a data-driven perspective for solving some of them.

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“…Remote driving allows control of the vehicle remotely especially matching dangerous mission scenarios when people cannot drive by themselves. IEEE also has a similar standardization initiative in the name of "Dedicated Short Range Communications" (DSRC) using 802.11p assisting inter-device communication [9]. Integration with UAVs: Sidelink is envisioned to operate in A2A network segment wherein the devices in proximity can establish peer-to-peer transmission links for control and data exchange.…”

Section: Sidelink (Device-to-device or D2d)mentioning

confidence: 99%

Drone Networking in the 6G Era: A Technology Overview

Mishra

Vegni

Loscrì

et al. 2021

IEEE Comm. Stand. Mag.

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Sixth generation (6G) wireless communication networks are envisioned to be empowered with novel enabling technologies to guarantee ubiquitous coverage requirements, heterogeneous communication scenarios, improved network intelligence, spectral rates and security. 6G vision is not only limited to terrestrial networks, but also extends to non-terrestrial networks encompassing satellites and aerial networks, thus exploring a full spectra of heterogeneous communication links.In 6G scenarios, the role of Unmanned Aerial Vehicles (UAVs) is of paramount importance, as flying devices are expected to densely populate aerial space, providing an intermediate network layer between ground networks and space ones. As a vision of fully integrated 6G heterogeneous networks, ground, aerial and satellite networks will coexist, thus realizing space-air-ground integrated communication network for 6G scenarios. This work highlights several novel 6G enabling technologies, and presents the detailed study and evaluation of communication technology candidates from the perspective of aerial communication networks, key design considerations and technical challenges.

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Improving 802.11p for Delivery of Safety-Critical Navigation Information in Robot-to-Robot Communication Networks

Cited by 17 publications

References 10 publications

Performance Evaluation of Different ToS Using Heterogeneous Communication Interfaces in FANETs

Performance Evaluation of Different ToS Using Heterogeneous Communication Interfaces in FANETs

A Critical Review of Communications in Multi-Robot Systems

Drone Networking in the 6G Era: A Technology Overview

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