UAV-IoT for Next Generation Virtual Reality

Chakareski, Jacob

doi:10.1109/tip.2019.2921869

Cited by 65 publications

(25 citation statements)

References 54 publications

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“…Contrary to conventional star and mesh network topologies, the scalability of the proposed distributed aerial processing (DAP) offloading method in highly mobile environments offers substantially increased processing speeds while requiring fewer employed UAVs. To facilitate rescue operations and enable the virtual teleportation of rescuers to restricted areas after catastrophic events, UAV-IoT data capture and networking for remote scene virtual reality (VR) immersion can be exploited [124]. In this respect, the delivered expected immersion fidelity can be maximized through optimization of the network placement policy by adopting RL methods.…”

Section: Airborne-based Intelligent Iiotmentioning

confidence: 99%

AI-Inspired Non-Terrestrial Networks for IIoT: Review on Enabling Technologies and Applications

Michailidis

Potirakis

Kanatas

2020

IoT

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During the last few years, various Industrial Internet of Things (IIoT) applications have emerged with numerous network elements interconnected using wired and wireless communication technologies and equipped with strategically placed sensors and actuators. This paper justifies why non-terrestrial networks (NTNs) will bring the IIoT vision closer to reality by providing improved data acquisition and massive connectivity to sensor fields in large and remote areas. NTNs are engineered to utilize satellites, airships, and aircrafts, which can be employed to extend the radio coverage and provide remote monitoring and sensing services. Additionally, this paper describes indicative delay-tolerant massive IIoT and delay-sensitive mission-critical IIoT applications spanning a large number of vertical markets with diverse and stringent requirements. As the heterogeneous nature of NTNs and the complex and dynamic communications scenarios lead to uncertainty and a high degree of variability, conventional wireless communication technologies cannot sufficiently support ultra-reliable and low-latency communications (URLLC) and offer ubiquitous and uninterrupted interconnectivity. In this regard, this paper sheds light on the potential role of artificial intelligence (AI) techniques, including machine learning (ML) and deep learning (DL), in the provision of challenging NTN-based IIoT services and provides a thorough review of the relevant research works. By adding intelligence and facilitating the decision-making and prediction procedures, the NTNs can effectively adapt to their surrounding environment, thus enhancing the performance of various metrics with significantly lower complexity compared to typical optimization methods.

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Section: Airborne-based Intelligent Iiotmentioning

confidence: 99%

AI-Inspired Non-Terrestrial Networks for IIoT: Review on Enabling Technologies and Applications

Michailidis

Potirakis

Kanatas

2020

IoT

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“…Chakareski 126 investigated the immersive data acquisition technology under the remote virtual reality scene based on UAV IoT, and designed the scalable source channel viewpoint coding, so as to maximize the reconstruction fidelity of the data captured at each UAV position at the ground convergence point. To realize accurate and efficient data sampling and reconstruction, Yu et al 127 proposed a spatial data sampling scheme of UAV using a denoising autoencoder (DAE) neural network.…”

Section: Large Dynamic Channelmentioning

confidence: 99%

A review on non-terrestrial wireless technologies for Smart City Internet of Things

Wang

Miao

et al. 2020

International Journal of Distributed Sensor Networks

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Smart City Internet of Things will become a fundamental infrastructure to support massive machine-type communications between the widely deployed sensors serving big cities. Since there exists many location constraints for the existing terrestrial Internet of Things, the non-terrestrial Internet of Things sheds light on breaking these limits. Therefore, this article conducts a comprehensive survey on non-terrestrial Internet of Things technologies for Smart City, which is an important complement to terrestrial Internet of Things. We first present the application scenarios of Internet of Things and point out where the existing terrestrial Internet of Things cannot work perfectly. Two non-terrestrial Internet of Things technical proposals are then introduced, namely satellite Internet of Things and unmanned aerial vehicle Internet of Things. However, the focuses of these non-terrestrial Internet of Things are distinct, that is, the major problems of satellite and unmanned aerial vehicle Internet of Things are the high dynamic nature of channel and high maneuverability of unmanned aerial vehicles, respectively. The key technologies for satellite and unmanned aerial vehicle Internet of Things are then reviewed separately. Both physical and non-physical layer technologies are surveyed for satellite Internet of Things, and the route planning is mainly investigated for the unmanned aerial vehicle Internet of Things. Finally, we draw a conclusion and give some potential research directions of non-terrestrial Internet of Things.

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“…In this paper, we focus on new types of visual systems represented by immersive media [14], [50]. Recent rapid development of virtual reality applications [32], [34], free-viewpoint television [13], [36], [37], and standardization activities in compression of point clouds [29], [33], or immersive video [28], shows that the need for natural visual content with depth information is constantly increasing.…”

Section: Introductionmentioning

confidence: 99%