scholarly journals Arrowhead Technology for Digitalization and Automation Solution: Smart Cities and Smart Agriculture

Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1464 ◽  
Author(s):  
Ioana Marcu ◽  
George Suciu ◽  
Cristina Bălăceanu ◽  
Alexandru Vulpe ◽  
Ana-Maria Drăgulinescu
Keyword(s):  
Precision Agriculture ◽  
Information Quality ◽  
Smart Cities ◽  
Communication Technologies ◽  
Smart Devices ◽  
Smart Building ◽  
Framework Technology ◽  
Service Oriented ◽  
Smart Agriculture ◽  
Iot Devices

The Internet of Things (IoT) concept has met requirements for security and reliability in domains like automotive industry, food industry, as well as precision agriculture. Furthermore, System of Systems (SoS) expands the use of local clouds for the evolution of integration and communication technologies. SoS devices need to ensure Quality of Service (QoS) capabilities including service-oriented management and different QoS characteristics monitoring. Smart applications depend on information quality since they are driven by processes which require communication robustness and enough bandwidth. Interconnectivity and interoperability facilities among different smart devices can be achieved using Arrowhead Framework technology via its core systems and services. Arrowhead Framework is targeting smart IoT devices with wide applicability areas including smart building, smart energy, smart cities, smart agriculture, etc. The advantages of Arrowhead Framework can be underlined by parameters such as transmission speed, latency, security, etc. This paper presents a survey of Arrowhead Framework in IoT/SoS dedicated architectures for smart cities and smart agriculture developed around smart cities, aiming to outline its significant impact on the global performances. The advantages of Arrowhead Framework technology are emphasized by analysis of several smart cities use-cases and a novel architecture for a telemetry system that will enable the use of Arrowhead technology in smart agriculture area is introduced and detailed by authors.

A State-of-the-Art Assessment of US and EU C-ITS Security Solutions

2018 ◽  
pp. 309-337
Author(s):  
Yessenia Berenice Llive ◽  
Norbert Varga ◽  
László Bokor
Keyword(s):  
Secure Communication ◽  
State Of The Art ◽  
Smart Cities ◽  
Security And Privacy ◽  
Transport Systems ◽  
Smart Devices ◽  
The Internet ◽  
Sensitive Data ◽  
Service Oriented ◽  
Art Assessment

In the near future with the innovative services and solutions being currently tested and deployed for cars, homes, offices, transport systems, smart cities, etc., the user connectivity will considerably change. It means that smart devices will be connected to the internet and produce a big impact on the internet traffic, increasing the service demand generated by devices and sensors. However most of these devices are vulnerable to attacks. Hence, the security and privacy become a crucial feature to be included in towards its appropriate deployment. Interconnected, cooperative, service-oriented devices and their related hardware/software solutions will contain sensitive data making such systems susceptible to attacks and leakage of information. Therefore, robust secure communication infrastructures must be established to aid suitable deployment. This chapter is a state-of-the-art assessment of US and EU C-ITS security solutions.

scholarly journals Practical Design of a WSN to Monitor the Crop and its Irrigation System

2019 ◽  
Vol 10 (4) ◽  
pp. 35 ◽  
Author(s):  
Laura García ◽  
Lorena Parra ◽  
Jose M. Jimenez ◽  
Jaime Lloret ◽  
Pascal Lorenz
Keyword(s):  
Precision Agriculture ◽  
Wireless Mesh Network ◽  
Irrigation System ◽  
Mesh Network ◽  
Sensors And Actuators ◽  
Wireless Network Design ◽  
Wireless Mesh ◽  
Practical Design ◽  
Smart Agriculture ◽  
Iot Devices

Due to environmental problems, such as the lack of water for irrigation, each day it becomes more necessary to control crops. Therefore, the use of precision agriculture becomes more evident. When it comes to making decisions on crops, it is evident the need to apply the concept of Smart Agriculture, that focuses on utilizing different sensors and actuators. As the number of IoT devices used in agriculture grows exponentially, it is necessary to design the implemented network so that the data is transmitted without problems. The present work shows a wireless network design, in which we use the information collected by the sensors of a Wireless Sensor Network (WSN), and a Wireless Mesh Network (WMN) formed by Access Points (AP) to transmit the data to a network that monitors agriculture for smart irrigation. In addition, through simulations we have presented a proposal of the maximum number of nodes that must be connected to an AP so that the network is efficient.

scholarly journals A Novel Combination of Distributed Ledger Technologies on Internet of Things: Use Case on Precision Agriculture

2019 ◽  
Vol 2 (3) ◽  
pp. 30
Author(s):  
Odysseas Lamtzidis ◽  
Dennis Pettas ◽  
John Gialelis
Keyword(s):  
Internet Of Things ◽  
Precision Agriculture ◽  
Field Data ◽  
Smart Cities ◽  
Data Integrity ◽  
Intelligent Decision Making ◽  
Distributed Ledger ◽  
Super Node ◽  
Iot Devices ◽  
Open Source Communities

Internet-of-Things (IoT) is an enabling technology for numerous initiatives worldwide such as manufacturing, smart cities, precision agriculture, and eHealth. The massive field data aggregation of distributed administered IoT devices allows new insights and actionable information for dynamic intelligent decision-making. In such distributed environments, data integrity, referring to reliability and consistency, is deemed insufficient and requires immediate facilitation. In this article, we introduce a distributed ledger (DLT)-based system for ensuring IoT data integrity which securely processes the aggregated field data. Its uniqueness lies in the embedded use of IOTA’s ledger, called “The Tangle”, used to transmit and store the data. Our approach shifts from a cloud-centric IoT system, where the Super nodes simply aggregate and push data to the cloud, to a node-centric system, where each Super node owns the data pushed in a distributed and decentralized database (i.e., the Tangle). The backend serves as a consumer of data and a provider of additional resources, such as administration panel, analytics, data marketplace, etc. The proposed implementation is highly modularand constitutes a significant contribution to the Open Source communities, regarding blockchain and IoT.

scholarly journals Federation of Internet of Things Testbeds for the Realization of a Semantically-Enabled Multi-Domain Data Marketplace

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3375 ◽  
Author(s):  
Luis Sánchez ◽  
Jorge Lanza ◽  
Juan Santana ◽  
Rachit Agarwal ◽  
Pierre Raverdy ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Mitigation Strategies ◽  
Smart Building ◽  
Research And Innovation ◽  
Application Service ◽  
Crowd Sensing ◽  
Iot Devices ◽  
The One ◽  
The Internet Of Things

The Internet of Things (IoT) concept has attracted a lot of attention from the research and innovation community for a number of years already. One of the key drivers for this hype towards the IoT is its applicability to a plethora of different application domains. However, infrastructures enabling experimental assessment of IoT solutions are scarce. Being able to test and assess the behavior and the performance of any piece of technology (i.e., protocol, algorithm, application, service, etc.) under real-world circumstances is of utmost importance to increase the acceptance and reduce the time to market of these innovative developments. This paper describes the federation of eleven IoT deployments from heterogeneous application domains (e.g., smart cities, maritime, smart building, crowd-sensing, smart grid, etc.) with over 10,000 IoT devices overall which produce hundreds of thousands of observations per day. The paper summarizes the resources that are made available through a cloud-based platform. The main contributions from this paper are twofold. In the one hand, the insightful summary of the federated data resources are relevant to the experimenters that might be seeking for an experimental infrastructure to assess their innovations. On the other hand, the identification of the challenges met during the testbed integration process, as well as the mitigation strategies that have been implemented to face them, are of interest for testbed providers that can be considering to join the federation.

scholarly journals Edge-enabled Mobile Crowdsensing to Support Effective Rewarding for Data Collection in Pandemic Events

2021 ◽  
Vol 19 (3) ◽  
Author(s):  
Luca Foschini ◽  
Giuseppe Martuscelli ◽  
Rebecca Montanari ◽  
Michele Solimando
Keyword(s):  
Information And Communication Technologies ◽  
Smart Cities ◽  
Communication Technologies ◽  
Smart Devices ◽  
Mobile Crowdsensing ◽  
Share Data ◽  
Information And Communication ◽  
Emergency Scenarios ◽  
The City

AbstractSmart cities use Information and Communication Technologies (ICT) to enrich existing public services and to improve citizens’ quality of life. In this scenario, Mobile CrowdSensing (MCS) has become, in the last few years, one of the most prominent paradigms for urban sensing. MCS allow people roaming around with their smart devices to collectively sense, gather, and share data, thus leveraging the possibility to capture the pulse of the city. That can be very helpful in emergency scenarios, such as the COVID-19 pandemic, that require to track the movement of a high number of people to avoid risky situations, such as the formation of crowds. In fact, using mobility traces gathered via MCS, it is possible to detect crowded places and suggest people safer routes/places. In this work, we propose an edge-anabled mobile crowdsensing platform, called ParticipAct, that exploits edge nodes to compute possible dangerous crowd situations and a federated blockchain network to store reward states. Edge nodes are aware of all critical situation in their range and can warn the smartphone client with a smart push notification service that avoids firing too many messages by adapting the warning frequency according to the transport and the specific subarea in which clients are located.

scholarly journals Adaptive Smart Traffic Accidents Management System

2021 ◽  
Vol 15 (14) ◽  
pp. 72
Author(s):  
Faisal Yousef Alzyoud ◽  
Abdallah Altahan Alnuaimi ◽  
Faiz Al Shrouf
Keyword(s):  
Traffic Congestion ◽  
Traffic Accidents ◽  
Smart Cities ◽  
New Technology ◽  
Software Tool ◽  
Communication Technologies ◽  
Smart Devices ◽  
Battery Life ◽  
Customer Services ◽  
Smart Traffic

<p>The proliferation of smart devices, IoT applications and wireless communication technologies contribute in countries development, society’s security, cost reduction, and customer services satisfactions; since they are used in different aspects of our life. Traffic congestion and accidents are increased recently and reached critical limits, so these contribute in initiating sever problems for researchers, governments and industry over the last few decades. Traffic accidents have many defects relating to increase number of death, infrastructure distribution, and health injuries; therefore, there is a crucial need to develop and modify an approach that utilizes the new technology to limit and prevent the traffic accidents.  Wireless sensors networks are developed to support smart solutions in smart cities like smart traffic, smart grid and others. In this research we developed a comprehensive approach to achieve the following three important goals in smart accident elimination. The first goal is to minimize the number of exchange information packets between sensors to save the battery life through developing and adapting clustering schema to minimize the number of exchanges information packets. The second goal is to calculate and determine the optimum route from accident location to the nearest rescue location by developing a dynamic routing schema   that is calculated by the control station depending on a cost heuristics function. The third goal is to predicate the accident causes and minimize the probability of accidents occur using a warning message schema and drawing some obstacles on some routing paths. Cupcarbon simulator and MATLAB software tool are developed to simulate different scenarios in order to proof the research goals.</p>

scholarly journals Characterization and Efficient Management of Big Data in IoT-Driven Smart City Development

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2430 ◽  
Author(s):  
Alaa Alsaig ◽  
Vangalur Alagar ◽  
Zaki Chammaa ◽  
Nematollaah Shiri
Keyword(s):  
Big Data ◽  
Information And Communication Technologies ◽  
Smart City ◽  
Smart Cities ◽  
Communication Technologies ◽  
City Development ◽  
Efficient Management ◽  
Information And Communication ◽  
Service Oriented

Smart city is an emerging initiative for integrating Information and Communication Technologies (ICT) in effective ways to support development of smart cities with enhanced quality of life for its citizens through safe and secure context-aware services. Major technical challenges to realize smart cities include resource use optimization, service delivery without interruption at all times in all aspects, minimization of costs, and reduction of resource consumption. To address these challenges, new techniques and technologies are required for modeling and processing the big data generated and used through the underlying Internet of Things (IoT). To this end, we propose a data-centric approach to IoT in conceptualizing the “things” from a service-oriented perspective and investigate efficient ways to identify, integrate, and manage big data. The data-centric approach is expected to better support efficient management of data with complexities inherent in IoT-generated big data. Furthermore, it supports efficient and scalable query processing and reasoning techniques required in development of smart city applications. This article redresses the literature and contributes to the foundations of smart cities applications.

scholarly journals IoT Implementation and Management for Smart Farming

2019 ◽  
Vol 8 (10) ◽  
pp. 2483-2491
Keyword(s):  
Precision Agriculture ◽  
Rural Areas ◽  
Web Applications ◽  
Communication Technologies ◽  
Crop Productivity ◽  
Storage Solutions ◽  
Smart Farming ◽  
High Production ◽  
Architecture Frameworks ◽  
Smart Agriculture

Precision agriculture can enable the vision of smart agriculture, improves the crop productivity and increases profitability of yields. Utilization of water is also an important criterion for a good agriculture and high production. The new dimension of smart farming in agriculture is Internet of Things. The IoT is a best solution for smart agriculture due to the use of interoperable, pervasive, scalable and open technologies and gained momentum in the field of agriculture. The advanced growth in IoT technologies even made the dream come true with the connectivity reached to rural areas. The use of highly accurate IoT sensors can measure the environmental context of farms and helps in improving the accuracy of precision agriculture. This paper reviews the various applications of IoT motivated by a purpose to identify various areas with latest trends, architecture frameworks. Selected papers were clustered based on various domain and subdomains corresponding to the usage of sensors, actuators, communication technologies, energy controls, storage solutions, data analysis for decision making and visualization to the farmer through web applications.

scholarly journals Trends on Advanced Information and Communication Technologies for Improving Agricultural Productivities: A Bibliometric Analysis

Agronomy ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1989
Author(s):  
Dagoberto Armenta-Medina ◽  
Tania A. Ramirez-delReal ◽  
Daniel Villanueva-Vásquez ◽  
Cristian Mejia-Aguirre
Keyword(s):  
Remote Sensing ◽  
Information And Communication Technologies ◽  
Precision Agriculture ◽  
Communication Technologies ◽  
Thematic Map ◽  
Third Stage ◽  
Scientific Papers ◽  
The Usa ◽  
Information And Communication ◽  
Smart Agriculture

In this work, an exhaustive revision is given of the literature associated with advanced information and communication technologies in agriculture within a window of 25 years using bibliometric tools enabled to detect of the main actors, structure, and dynamics in the scientific papers. The main findings are a trend of growth in the dynamics of publications associated with advanced information and communication technologies in agriculture productivity. Another assertion is that countries, like the USA, China, and Brazil, stand out in many publications due to allocating more resources to research, development, and agricultural productivity. In addition, the collaboration networks between countries are frequently in regions with closer cultural and idiomatic ties; additionally, terms’ occurrence are obtained with Louvain algorithm predominating four clusters: precision agriculture, smart agriculture, remote sensing, and climate smart agriculture. Finally, the thematic-map characterization with Callon’s density and centrality is applied in three periods. The first period of thematic analysis shows a transition in detecting the variability of a nutrient, such as nitrogen, through the help of immature georeferenced techniques, towards greater remote sensing involvement. In the transition from the second to the third stage, the maturation of technologies, such as unmanned aerial vehicles, wireless sensor networks, and the machine learning area, is observed.

scholarly journals Wireless Mesh Networking: An IoT-Oriented Perspective Survey on Relevant Technologies

2019 ◽  
Vol 11 (4) ◽  
pp. 99 ◽  
Author(s):  
Antonio Cilfone ◽  
Luca Davoli ◽  
Laura Belli ◽  
Gianluigi Ferrari
Keyword(s):  
Ieee 802.15.4 ◽  
Smart Cities ◽  
Communication Technologies ◽  
Wireless Technologies ◽  
Wireless Mesh ◽  
Wireless Mesh Networking ◽  
Comprehensive Survey ◽  
Smart Agriculture ◽  
The Internet Of Things ◽  
Network Of Networks

The Internet of Things (IoT), being a “network of networks”, promises to allow billions of humans and machines to interact with each other. Owing to this rapid growth, the deployment of IoT-oriented networks based on mesh topologies is very attractive, thanks to their scalability and reliability (in the presence of failures). In this paper, we provide a comprehensive survey of the following relevant wireless technologies: IEEE 802.11, Bluetooth, IEEE 802.15.4-oriented, and Sub-GHz-based LoRa. Our goal is to highlight how various communication technologies may be suitable for mesh networking, either providing a native support or being adapted subsequently. Hence, we discuss how these wireless technologies, being either standard or proprietary, can adapt to IoT scenarios (e.g., smart cities and smart agriculture) in which the heterogeneity of the involved devices is a key feature. Finally, we provide reference use cases involving all the analyzed mesh-oriented technologies.

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