Scientific Workshop 4: The Internet of Things State-of-the-Art and Perspectives for Future Research

2009 ◽  
pp. 10-15 ◽  
Author(s):  
Dirk Liekenbrock
Keyword(s):  
Internet Of Things ◽  
State Of The Art ◽  
Future Research ◽  
The Internet ◽  
The Internet Of Things

Applying the Internet of Things into Ecological Environmental Monitoring

2012 ◽  
Vol 198-199 ◽  
pp. 1755-1760 ◽  
Author(s):  
Guo Ping Zhou ◽  
Ya Nan Chen
Keyword(s):  
Internet Of Things ◽  
Environmental Monitoring ◽  
Software Design ◽  
Ecological Environment ◽  
Future Research ◽  
The Internet ◽  
Environment Monitoring ◽  
Carbon Dioxide Gas ◽  
Data Collection And Analysis ◽  
The Internet Of Things

Applying the Internet of Things (IOT) into ecological environmental monitoring is the goal of this paper. There are several advantages of the Internet of Things (IOT) applying in ecological environment monitoring. A hierarchical monitoring system is presented, including system architecture, hardware/software design, information flow and software implementation. In the end, using carbon dioxide gas in the atmosphere for experimental purposes, in data collection and analysis. Experiments showed that this system is capable of monitoring ecologica environment, which orientate the future research of forest ecosystem.

scholarly journals Cycling the Smart and Sustainable City: Analyzing EC Policy Documents on Internet of Things, Mobility and Transport, and Smart Cities

2019 ◽  
Vol 11 (3) ◽  
pp. 763 ◽  
Author(s):  
Frauke Behrendt
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Future Research ◽  
The Internet ◽  
Policy Documents ◽  
Smart Vehicles ◽  
Policy Debates ◽  
Autonomous Cars ◽  
Funding Opportunities ◽  
The Internet Of Things

This article asks how cycling, a sustainable form of urban mobility, is discussed in the context of smart cities and the Internet of Things in European Commission (EC) policy documents, and how this compares to discussions around cars. Sustainable forms of transport, such as cycling, are a key issue for cities across the globe, including smart cities, while transport is increasingly becoming part of the Internet of Things (IoT). This article contributes to an understanding of how cars and bicycles are discussed in this context. To do so, 39 relevant EC policy documents (2014–2018) were identified and examined through keyword searches and rigorous document analysis. The results show how the vast majority of policy discussions in this area revolve around cars (including autonomous cars and smart vehicles), while cycling is hardly considered, with a strong affinity between IoT and cars. In addition, recent EC policy debates take place more around IoT than around Smart Cities, while sustainability is not considered much in the IoT context. The conclusion highlights the implications of sustainable urban modes of transport such as cycling being absent from IoT/smart debates, including lack of policy visibility and funding opportunities, underlining the significance of this research, and it also makes policy suggestions for addressing these issues and for future research.

scholarly journals Grid-PPPS: A Skyline Method for Efficiently Handling Top-kQueries in Internet of Things

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Sun-Young Ihm ◽  
Aziz Nasridinov ◽  
Young-Ho Park
Keyword(s):  
Internet Of Things ◽  
State Of The Art ◽  
Rapid Development ◽  
The Internet ◽  
Space Partitioning ◽  
Data Space ◽  
Index Building ◽  
Representative Skyline ◽  
The Internet Of Things ◽  
Grid Based

A rapid development in wireless communication and radio frequency technology has enabled the Internet of Things (IoT) to enter every aspect of our life. However, as more and more sensors get connected to the Internet, they generate huge amounts of data. Thus, widespread deployment of IoT requires development of solutions for analyzing the potentially huge amounts of data they generate. A top-kquery processing can be applied to facilitate this task. The top-kqueries retrievektuples with the lowest or the highest scores among all of the tuples in the database. There are many methods to answer top-kqueries, where skyline methods are efficient when considering all attribute values of tuples. The representative skyline methods are soft-filter-skyline (SFS) algorithm, angle-based space partitioning (ABSP), and plane-project-parallel-skyline (PPPS). Among them, PPPS improves ABSP by partitioning data space into a number of spaces using hyperplane projection. However, PPPS has a high index building time in high-dimensional databases. In this paper, we propose a new skyline method (called Grid-PPPS) for efficiently handling top-kqueries in IoT applications. The proposed method first performs grid-based partitioning on data space and then partitions it once again using hyperplane projection. Experimental results show that our method improves the index building time compared to the existing state-of-the-art methods.

scholarly journals IoT-Fog-Cloud system architecture for big data analysis and cybersecurity systems: a review of fog computing, the introduction to the Internet of Things audit

2020 ◽  
Author(s):  
D. R. Kolisnyk ◽  
◽  
K. S. Misevych ◽  
S. V. Kovalenko
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Internet Of Things ◽  
System Architecture ◽  
Fog Computing ◽  
Big Data Analysis ◽  
Future Research ◽  
The Internet ◽  
Security Issues ◽  
The Internet Of Things

The article considers the issues of system architecture IoT-Fog-Cloud, considers the interaction between the three levels of IoT, Fog and Cloud for the effective implementation of programs for big data analysis and cybersecurity. The article also discusses security issues, solutions and directions for future research in the field of the Internet of Things and nebulous computing.

scholarly journals The Internet of Things in the Corporate Environment

2022 ◽  
pp. 132-148
Author(s):  
Kiran M. B. ◽  
Martin George Wynn
Keyword(s):  
Internet Of Things ◽  
Radical Change ◽  
Future Research ◽  
The Internet ◽  
Corporate Environment ◽  
Case Examples ◽  
Implementation Guidelines ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Exchange Data

The Internet of Things (IoT) is formed by a set of physical objects with embedded sensors, connected using a network so that they can collect and exchange data. Though the concept looks simple, its deployment in industry has enormous potential to bring major business benefits and radical change. This chapter examines IoT technology and how it is being used in the corporate environment. Based on a review of existing literature and case examples, the various definitions and elements of IoT are discussed, followed by an assessment of how IoT is being used and what benefits are being delivered. Some key emergent themes are then examined – security aspects, the significance of 5G networks, and the need for an IoT strategy and project implementation guidelines. The chapter concludes by outlining possible areas for future research and suggests a step-change in the mega-infrastructure connecting IoT devices is imminent.

scholarly journals A Comprehensive Survey on Resource Management in Internet of Things

2020 ◽  
Vol 4 ◽  
pp. 27-43
Author(s):  
Lokesh B Bhajantri ◽  
Gangadharaiah S.
Keyword(s):  
Resource Management ◽  
Internet Of Things ◽  
Resource Discovery ◽  
Future Research ◽  
The Internet ◽  
Management Processes ◽  
Efficient Resource ◽  
Comprehensive Survey ◽  
The Individual ◽  
The Internet Of Things

Efficient resource management is a challenging task in distributed systems, such as the Internet of Things, fog, edge, and cloud computing. In this work, we present a broad overview of the Internet of Things ecosystem and of the challenges related to managing its resources. We also investigate the need for efficient resource management and the guidelines given/suggested by Standard Development Organizations. Additionally, this paper contains a comprehensive survey of the individual phases of resource management processes, focusing on resource modeling, resource discovery, resource estimation, and resource allocation approaches based on performance parameters or metrics, as well as on architecture types. This paper presents also the architecture of a generic resource management enabler. Furthermore, we present open issues concerning resource management, pointing out the directions of future research related to the Internet of Things.

scholarly journals Analysis of P4 and XDP for IoT Programmability in 6G and Beyond

IoT ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 605-622
Author(s):  
David Carrascal ◽  
Elisa Rojas ◽  
Joaquin Alvarez-Horcajo ◽  
Diego Lopez-Pajares ◽  
Isaías Martínez-Yelmo
Keyword(s):  
Internet Of Things ◽  
Software Defined Networking ◽  
Use Cases ◽  
Future Research ◽  
The Internet ◽  
Cpu Usage ◽  
Iot Devices ◽  
The Internet Of Things

Recently, two technologies have emerged to provide advanced programmability in Software-Defined Networking (SDN) environments, namely P4 and XDP. At the same time, the Internet of Things (IoT) represents a pillar of future 6G networks, which will be also sustained by SDN. In this regard, there is a need to analyze the suitability of P4 and XDP for IoT. In this article, we aim to compare both technologies to help future research efforts in the field. For this purpose, we evaluate both technologies by implementing diverse use cases, assessing their performance and providing a quick qualitative overview. All tests and design scenarios are publicly available in GitHub to guarantee replication and serve as initial steps for researchers that want to initiate in the field. Results illustrate that currently XDP is the best option for constrained IoT devices, showing lower latency times, half the CPU usage, and reduced memory in comparison with P4. However, development of P4 programs is more straightforward and the amount of code lines is more similar regardless of the scenario. Additionally, P4 has a lot of potential in IoT if a special effort is made to improve the most common software target, BMv2.

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