Augmented Reality in IoT

White, Gary; Cabrera, Christian; Palade, Andrei; Clarke, Siobhán

doi:10.1007/978-3-030-17642-6_13

Cited by 34 publications

(21 citation statements)

References 12 publications

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“…Recently, augmented reality (AR) and the Internet of Things (IoT) have received significant attention as key enabling technologies for making spaces smarter and more interactive [1,2,3,4]. AR is a type of interactive medium that provides a view of the real world augmented by spatially registering useful computer-generated information.…”

Section: Introductionmentioning

confidence: 99%

AR Enabled IoT for a Smart and Interactive Environment: A Survey and Future Directions

Kim

2019

Sensors

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Accompanying the advent of wireless networking and the Internet of Things (IoT), traditional augmented reality (AR) systems to visualize virtual 3D models of the real world are evolving into smart and interactive AR related to the context of things for physical objects. We propose the integration of AR and IoT in a complementary way, making AR scalable to cover objects everywhere with an acceptable level of performance and interacting with IoT in a more intuitive manner. We identify three key components for realizing such a synergistic integration: (1) distributed and object-centric data management (including for AR services); (2) IoT object-guided tracking; (3) seamless interaction and content interoperability. We survey the current state of these respective areas and herein discuss research on issues about realizing a future smart and interactive living environment.

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Section: Introductionmentioning

confidence: 99%

AR Enabled IoT for a Smart and Interactive Environment: A Survey and Future Directions

Kim

2019

Sensors

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“…Mobile phones can be used as AR visors at the early stage, to evaluate the effectiveness of AR in IoT. After this, the transition can be done to multiple alternative options, such as head-mounted displays like Google Glass, Magic Leap Lightwear and Microsoft Hololons, and other wearables that allow users hands-free interaction with IoT services and objects [95]. VR with IoT provides a huge contribution to facilitate indispensable services like remote surgeries, tourism industry, remote meetings, retail, marketing and smart education, as well as entertainment activities.…”

Section: E Ar Vr and Gamingmentioning

confidence: 99%

Survey on Network Slicing for Internet of Things Realization in 5G Networks

Wijethilaka

Liyanage

2021

IEEE Commun. Surv. Tutorials

260

124

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Internet of Things (IoT) is an emerging technology that makes people's lives smart by conquering a plethora of diverse application and service areas. In near future, the fifthgeneration (5G) wireless networks provide the connectivity for this IoT ecosystem. It has been carefully designed to facilitate the exponential growth in the IoT field. Network slicing is one of the key technologies in the 5G architecture that has the ability to divide the physical network into multiple logical networks (i.e. slices) with different network characteristics. Therefore, network slicing is also a key enabler of realisation of IoT in 5G. Network slicing can satisfy the various networking demands by heterogeneous IoT applications via dedicated slices. In this survey, we present a comprehensive analysis of the exploitation of network slicing in IoT realisation. We discuss network slicing utilisation in different IoT application scenarios, along with the technical challenges that can be solved via network slicing. Furthermore, integration challenges and open research problems related to the network slicing in the IoT realisation are also discussed in this paper. Finally, we discuss the role of other emerging technologies and concepts, such as blockchain and Artificial Intelligence/Machine Learning(AI/ML) in network slicing and IoT integration.

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“…Augmented reality and IoT are a highly compatible combination as IoT is a combination of physical objects with virtual representation and augmented reality superimposes additional virtual information to users about smart objects and service in the user's view of the world [22]. Augmented reality can use local information beacons and sensors to provide context-aware suggestions that can be displayed to users [23].…”

Section: ) Augmented Reality For Urban Visualisationmentioning

confidence: 99%

Urban Intelligence With Deep Edges

White

Clarke

2020

IEEE Access

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With the increased accuracy available from state of the art deep learning models and new embedded devices at the edge of the network capable of running and updating these models there is potential for urban intelligence at the edge of the network. The physical proximity of these edge devices will allow for intelligent reasoning one hop away from data generation. This will allow a range of modern urban reasoning applications that require reduced latency and jitter such as remote surgery, vehicle collision detection and augmented reality. The traffic flow from IoT devices to the cloud will also be reduced as with the increased accuracy from deep learning models only a subset of the data will need to be reported after a first pass analysis. However, the training time of deep learning models can be long, taking weeks on multiple desktop GPUs for large datasets. In this paper we show how transfer learning can be used to update the last layers of pre-trained models at the edge of the network, dramatically reducing the training time and allowing the model to perform new tasks without data ever having to be sent to the cloud. This will also improve the users' privacy, which is a key requirement for urban intelligence applications with the introduction of GDPR. We compare our approach to alternative IoT urban intelligence architectures such as cloud-based architectures and deep learning algorithms trained only on local data. INDEX TERMS Edge computing, transfer learning, deep learning, urban intelligence, IoT, QoS. I. INTRODUCTION Urban intelligence can provide insight into a number of the major problems being faced by our cities, such as air pollution, increased mobile communication network demand, traffic congestion and water floods, etc., through the use of data from IoT sensors and intelligent analytics on the data. This can allow for the efficient running of a smart city, making the most of the resources available. Problems in smart cities such as increased network demand and crowd congestion are set to get increasingly difficult with the UN predicting 60% of people globally will live in cities with at least half a million inhabitants by 2030 [1]. This will exacerbate the current problems in our cities, so it will be critical to mange these problems with intelligent urban reasoning algorithms and a suitable deployment architecture. IoT devices will enable access to a range of devices and information that was not available to urban authorities before. This additional information from air pollution sensors, CCTV cameras, vehicles and so on will allow the development of more advanced urban reasoning applications [2]. The associate editor coordinating the review of this manuscript and approving it for publication was Hao Ji.

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Augmented Reality in IoT

Cited by 34 publications

References 12 publications

AR Enabled IoT for a Smart and Interactive Environment: A Survey and Future Directions

AR Enabled IoT for a Smart and Interactive Environment: A Survey and Future Directions

Survey on Network Slicing for Internet of Things Realization in 5G Networks

Urban Intelligence With Deep Edges

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