Internet of Things (IoT): Present State and Future Prospects

Kawamoto, Yuichi; Nishiyama, Hiroki; Kato, Nei; Yoshimura, Nagahisa; Yamamoto, Shinichi

doi:10.1587/transinf.2013thp0009

Cited by 49 publications

(13 citation statements)

References 25 publications

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“…In this technique, the satellite is the entity responsible for data collection from distributed IoT sensors and for data transmission to ground stations. A tsunami detection system was introduced in [37]. The aim of this system was to help in the early prediction of any possible tsunami.…”

Section: Iot and Satellitementioning

confidence: 99%

IoT and UAV Integration in 5G Hybrid Terrestrial-Satellite Networks

Marchese

Moheddine

Patrone

2019

Sensors

110

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The Fifth Generation of Mobile Communications (5G) will lead to the growth of use cases demanding higher capacity and a enhanced data rate, a lower latency, and a more flexible and scalable network able to offer better user Quality of Experience (QoE). The Internet of Things (IoT) is one of these use cases. It has been spreading in the recent past few years, and it covers a wider range of possible application scenarios, such as smart city, smart factory, and smart agriculture, among many others. However, the limitations of the terrestrial network hinder the deployment of IoT devices and services. Besides, the existence of a plethora of different solutions (short vs. long range, commercialized vs. standardized, etc.), each of them based on different communication protocols and, in some cases, on different access infrastructures, makes the integration among them and with the upcoming 5G infrastructure more difficult. This paper discusses the huge set of IoT solutions available or still under standardization that will need to be integrated in the 5G framework. UAVs and satellites will be proposed as possible solutions to ease this integration, overcoming the limitations of the terrestrial infrastructure, such as the limited covered areas and the densification of the number of IoT devices per square kilometer.

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Section: Iot and Satellitementioning

confidence: 99%

IoT and UAV Integration in 5G Hybrid Terrestrial-Satellite Networks

Marchese

Moheddine

Patrone

2019

Sensors

110

View full text Add to dashboard Cite

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“…Another IoT related work is in [11], it presents the features that a UAV system should implement for drone traffic management, namely the air traffic control network, the cellular network, and the Internet. In [12] the authors introduce different classifications of Internet of Things with examples of utilizing IoT technologies. They refer to the concept of global-scaled IoT, where using Unmanned Aerial Vehicle (UAV) offers a large coverage and more flexibility thanks to the mobility approach.…”

Section: Related Workmentioning

confidence: 99%

Strategic Availability and Cost-Effective UAV-Based Flying Access Networks: S-Modular Game Analysis

Handouf

Sabir

2019

Mobile Information Systems

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Nowadays, ubiquitous network access has become a reality thanks to Unmanned Aerial Vehicles (UAVs) that have gained extreme popularity due to their flexible deployment and higher chance of Line-of-Sight (LoS) links to ground users. Telecommunication service providers deploy UAVs to provide flying network access in remote rural areas, disaster-affected areas or massive-attended events (sport venues, festivals, etc.) where full set-up to provide temporary wireless coverage would be very expensive. Of course, a UAV is battery-powered which means limited energy budget for both mobility aspect and communication aspect. An efficient solution is to allow UAVs swhiching their radio modules to sleep mode in order to extend battery lifetime. This results in temporary unavailability of communication feature. Within such a situation, the ultimate deal for a UAV operator is to provide a cost effective service with acceptable availability. This would allow to meet some target Quality of Service (QoS) while having a good market share granting satisfactory benefits. In this article, we exhibit a new framework with many interesting insights on how to jointly define the availability and the access cost in UAVempowered flying access networks to opportunistically cover a target geographical area. Yet, we construct a duopoly model to capture the adversarial behavior of service providers in terms of their pricing policies and their respective availability probabilities. Optimal periodic beaconing (small messages advertising existence of a UAV) is a vital issue that needs to be addressed, given the UAVs limited battery capacity and their recharging constraints. A full analysis of the game outcome, both in terms of equilibrium pricing and equilibrium availability, is derived. We show that the availability-pricing game exhibits some nice features as it is sub-modular with respect to the availability policy, whereas it is super-modular with respect to the service fee. Furthermore, we implement a learning scheme using best-response dynamics that allows operators to learn their joint pricing-availability strategies in a fast, accurate and distributed fashion. Extensive simulations show convergence of the proposed scheme to the joint pricing-availability equilibrium and offer promising insights on how the game parameters should be chosen to efficiently control the duopoly game.

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“…Therefore, recent tools are unable to scale the sizes required in data centre systems. As a result, devices could collect various data and send it through the net [17]. Researchers bring up big data technologies like Apache Spark as a computing platform for analytics.…”

Section: Related Workmentioning

confidence: 99%

Proposing a streaming Big Data analytics (SBDA) platform for condition based maintenance (CBM) and monitoring transportation systems

Maktoubian¹

2017

ICST Transactions on Scalable Information Systems

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Statistics demonstrate that public transportation plays a significant role in people's movement in metropolises. However, transit systems are aging and are facing rising maintenance costs. Technologies such as Condition-Based Maintenance (CBM) could be used in order to monitor performance conditions of transportation and industrial assets in real-time to detect when and what maintenance is required. CBMs could help to identify risk scenarios in real-time, enhance reliability, reduce call out costs, increase productivity, and better asset functioning visibility. Since the high volume of maintenance data is generated from the different source, managing assets conditions with traditional inspection system such as planned maintenance (PM) is impossible. Therefore, providing a comprehensive performance management program is essential. My research is motivated by interesting challenges increasing from the growing size, variety, and complexity of maintenance data in CBM systems. This paper presents a knowledge-based approach of CBM using streaming big data analysis (SBDA) in order to solve real-time big data management, storage and computation challenges and predictive data analytics in CBM systems. This platform could detect changes in asset's behaviour before they stop.

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Internet of Things (IoT): Present State and Future Prospects

Cited by 49 publications

References 25 publications

IoT and UAV Integration in 5G Hybrid Terrestrial-Satellite Networks

IoT and UAV Integration in 5G Hybrid Terrestrial-Satellite Networks

Strategic Availability and Cost-Effective UAV-Based Flying Access Networks: S-Modular Game Analysis

Proposing a streaming Big Data analytics (SBDA) platform for condition based maintenance (CBM) and monitoring transportation systems

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