scholarly journals Models for Internet of Things Environments—A Survey

Information ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 487
Author(s):  
Ana Cristina Franco da Silva ◽  
Pascal Hirmer
Keyword(s):  
Internet Of Things ◽  
State Of The Art ◽  
Smart Cities ◽  
Self Organization ◽  
Context Aware ◽  
Sensors And Actuators ◽  
Relational Models ◽  
Comparative Survey ◽  
Smart Factories ◽  
The Internet Of Things

Today, the Internet of Things (IoT) is an emerging topic in research and industry. Famous examples of IoT applications are smart homes, smart cities, and smart factories. Through highly interconnected devices, equipped with sensors and actuators, context-aware approaches can be developed to enable, e.g., monitoring and self-organization. To achieve context-awareness, a large amount of environment models have been developed for the IoT that contain information about the devices of an environment, their attached sensors and actuators, as well as their interconnection. However, these models highly differ in their content, the format being used, for example ontologies or relational models, and the domain to which they are applied. In this article, we present a comparative survey of models for IoT environments. By doing so, we describe and compare the selected models based on a deep literature research. The result is a comparative overview of existing state-of-the-art IoT environment models.

Fog Computing and Its Role in the Internet of Things

2019 ◽  
pp. 63-71 ◽  
Author(s):  
Nisha Angeline C. V. ◽  
Raja Lavanya
Keyword(s):  
Internet Of Things ◽  
Wireless Sensors ◽  
Smart Cities ◽  
Fog Computing ◽  
Connected Vehicle ◽  
Location Awareness ◽  
Sensors And Actuators ◽  
Computing Paradigm ◽  
The Internet Of Things

Fog computing extends the cloud computing paradigm to the edge of the network, thus enabling a new breed of applications and services. Defining characteristics of the Fog are 1) low latency and location awareness, 2) widespread geographical distribution, 3) mobility, 4) very large number of nodes, 5) predominant role of wireless access, 6) strong presence of streaming and real time applications, and 7) heterogeneity. In this chapter, the authors argue that the above characteristics make the Fog the appropriate platform for a number of critical internet of things (IoT) services and applications, namely connected vehicle, smart grid, smart cities, and in general, wireless sensors and actuators networks (WSANs).

scholarly journals DEPENDABLE INTERNET OF THINGS FOR NETWORKED CARS

2017 ◽  
pp. 226-237
Author(s):  
Bernhard Großwindhager ◽  
Astrid Rupp ◽  
Martin Tappler ◽  
Markus Tranninger ◽  
Samuel Weiser ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Wide Band ◽  
The Internet ◽  
Sensors And Actuators ◽  
Side Channels ◽  
Research Activities ◽  
Security Properties ◽  
And Control ◽  
Smart Factories ◽  
The Internet Of Things

The Internet of Things (IoT) extends the Internet to include also wireless embedded computers that are often equipped with sensors and actuators to monitor and control their physical environment. The IoT is increasingly used for safety-critical applications such as smart factories or networked cars, where a failure of the IoT may lead to catastrophic consequences. The IoT is therefore in urgent need of dependability, where reliability, availability, and security properties can be guaranteed even in harsh environments (e.g., radio interference) and under deliberate attacks (e.g., exploiting side channels). In this paper we give an overview of recent research activities in the LEAD project “Dependable Internet of Things in Adverse Environments” towards a dependable IoT, specifically dependable wireless communication and localization using Ultra-Wide-Band technology, secure execution of real-time software, protocol testing and verification, and dependable networked control. We also present the TruckLab testbed, where our research results can be integrated and validated in a platooning use case. In this testbed, model trucks are automatically controlled to follow a lead truck.

Robust Networking: Dynamic Topology Evolution Learning for Internet of Things

2021 ◽  
Vol 17 (3) ◽  
pp. 1-23
Author(s):  
Ning Chen ◽  
Tie Qiu ◽  
Mahmoud Daneshmand ◽  
Dapeng Oliver Wu
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Evolutionary Process ◽  
Small Error ◽  
Cyber Attacks ◽  
Communication Capacity ◽  
Error Ratio ◽  
The Internet Of Things ◽  
Evolution Learning

The Internet of Things (IoT) has been extensively deployed in smart cities. However, with the expanding scale of networking, the failure of some nodes in the network severely affects the communication capacity of IoT applications. Therefore, researchers pay attention to improving communication capacity caused by network failures for applications that require high quality of services (QoS). Furthermore, the robustness of network topology is an important metric to measure the network communication capacity and the ability to resist the cyber-attacks induced by some failed nodes. While some algorithms have been proposed to enhance the robustness of IoT topologies, they are characterized by large computation overhead, and lacking a lightweight topology optimization model. To address this problem, we first propose a novel robustness optimization using evolution learning (ROEL) with a neural network. ROEL dynamically optimizes the IoT topology and intelligently prospects the robust degree in the process of evolutionary optimization. The experimental results demonstrate that ROEL can represent the evolutionary process of IoT topologies, and the prediction accuracy of network robustness is satisfactory with a small error ratio. Our algorithm has a better tolerance capacity in terms of resistance to random attacks and malicious attacks compared with other algorithms.

The Internet of Things: Making Cities — AndThe Way They Use Technology — Smarter

2016 ◽  
Author(s):  
Wendy W. Fok ◽  
Keyword(s):  
New York ◽  
Internet Of Things ◽  
Energy Use ◽  
Smart Cities ◽  
Traffic Monitoring ◽  
Urban Life ◽  
The Internet ◽  
Time Data ◽  
Heating And Cooling ◽  
The Internet Of Things

Minerva Tantoco was named New York City’s first chief technology officer last year, charged with developing a coordinated citywide strategy on technology and innovation. We’re likely to see more of that as cities around the country, and around the world, consider how best to use innovation and technology to operate as “smart cities.”The work has major implications for energy use and sustainability, as cities take advantage of available, real-time data – from ‘smart’ phones, computers, traffic monitoring, and even weather patterns — to shift the way in which heating and cooling systems, landscaping, flow of people through cities, and other pieces of urban life are controlled. But harnessing Open Innovation and the Internet of Things can promote sustainability on a much broader and deeper scale. The question is, how do you use all the available data to create a more environmentally sound future? The term “Internet of Things” was coined in 1999 by Kevin Ashton, who at the time was a brand manager trying to find a better way to track inventory. His idea? Put a microchip on the packaging to let stores know what was on the shelves.

scholarly journals City with Smart Waste Management: Introducing Waste Bin Technologies

2021 ◽  
Vol 34 (02) ◽  
pp. 1032-1038
Author(s):  
Arya Majidi
Keyword(s):  
Internet Of Things ◽  
Adverse Effects ◽  
Waste Management ◽  
Smart Cities ◽  
Human Life ◽  
The Other ◽  
The Internet ◽  
Waste Collection ◽  
Waste Production ◽  
The Internet Of Things

Population growth and urbanization have led to an increase in the rate of waste production, the lack of timely and proper management of which will have adverse effects on human life and the environment. Since most of the waste management costs are spent on waste collection and transportation, it is necessary to find solutions to control the huge costs of this sector. On the other hand, today, intelligent technologies are used globally as solutions to meet challenges in various fields such as agriculture to improve agro-industrial production, transportation, and waste management, which creates a concept called smart cities. One of the categories that has changed the concept of cities and made them have easier and smarter answers to various events and needs is the "Internet of Things", in which many cases and infrastructures with new hardware technologies and Software are integrated. Waste collection is no exception to this rule and efforts have been made to make it smarter. In this research, some of the latest innovations presented globally in order to make trash smarter have been examined.

scholarly journals Smart cities IOT & Digital network connectivity devices: Optimization on business in Africa

2021 ◽  
pp. 064-071
Author(s):  
Makeri Yakubu Ajiji ◽  
Xi’an Jiaotong Victor Chang ◽  
Targio Hashem Ibrahim Abaker ◽  
Uzorka Afam ◽  
T Cirella Giuseppe
Keyword(s):  
Internet Of Things ◽  
Urban Communities ◽  
Information And Communication Technologies ◽  
Smart City ◽  
Urban Areas ◽  
Smart Cities ◽  
The Internet ◽  
City Development ◽  
Short Article ◽  
The Internet Of Things

Today the world is becoming connected. The number of devices that are connected are increasing day by day. Many studies reveal that about 50 billion devices would be connected by 2020 indicating that Internet of things have a very big role to play in the future to come Considering the perplexing engineering of Smart City conditions, it ought not to be failed to remember that their establishment lies in correspondence advancements that permit availability and information move between the components in Smart City conditions. Remote interchanges with their capacities speak to Smart City empowering advancements that give the open door for their fast and effective execution and extension as well. The gigantic weight towards the proficient city the board has triggered various Smart City activities by both government and private area businesses to put resources into Information and Communication Technologies to discover feasible answers for the assorted chances and difficulties (e.g., waste the executives). A few specialists have endeavored to characterize a lot of shrewd urban areas and afterward recognize openings and difficulties in building brilliant urban communities. This short article likewise expresses the progressing movement of the Internet of Things and its relationship to keen urban communities. Advancement in ICT and data sharing innovation are the drivers of keen city degree and scale. This quick development is changing brilliant city development with the beginning of the Internet of Things (IoT). This transformation additionally speaks to difficulties in building (Kehua, Li, and Fu ,Su et al.1). By knowing the attributes of specific advances, the experts will have the occasion to create proficient, practical, and adaptable Smart City frameworks by actualizing the most reasonable one.

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