Experiences creating a framework for smart traffic control using AWS IOT

Tärneberg, William; Chandrasekaran, Vishal; Humphrey, Marty

doi:10.1145/2996890.2996911

Cited by 41 publications

(18 citation statements)

References 6 publications

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“…MQTT is employed. Another use case for smart vehicle traffic control has been proposed by Tarneberg et al [50]. Traffic lights, buses, induction loops, and bus stops are connected via MQTT topics.…”

Section: ) Communication Modelmentioning

confidence: 99%

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Platforms for Smart Environments and Future Internet Design: A Survey

Alberti

Santos²,

Souza³

et al. 2019

IEEE Access

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Internet of things (IoT) is pushing the integration of physical and virtual worlds. Sensor devices provide rich sensory information to context-aware services. Actuators implement in the physical world application needs. The role of software is increasing as more and more resources become virtualized and software-defined. Smart environment is an emerging concept that has the potential to address many of the humanity problems. In this context, what are the promising tools for building the smart environments of the future? This paper provides a review of platforms, middleware, and frameworks that can help in this big challenge, discussing their architectures, service life-cycling, digital twins, cloud-based operation, virtualization, security, privacy, communication model, support for AI and machine learning, among other aspects. The proposed revision innovates by employing previous work on future Internet key enablers as parameters for qualitative comparisons. The idea is to determine the degree of alignment among current initiatives for smart environments and the ones emerging from future Internet research. Among the main conclusions are: (i) heterogeneity come to stay; (ii) many contemporary proposals do not cover important aspects raised in future Internet research; (iii) publish/subscribe model is largely employed; (iv) many proposals are stuck to the limitations of current Internet model (another reason to explore the relationship among current platforms and previous future Internet research for IoT); (v) devices interoperability is a problem solved; (vi) ingredients from future Internet research, such as SDN/NFV, ICN and SCN are systematically being adopted for smart environments design. Many others are to come; (vii) AI, machine learning, and big data support are missing not only in TCP/IP-based approaches, but also in future Internet-based.

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Section: ) Communication Modelmentioning

confidence: 99%

“…AWS IoT provides a webbased graphical user interface with thousands of possible interactions. However, a lot of manual intervention is required, as reported by Tarneberg et al [50]. AWS IoT supports integrated data analytics and machine learning.…”

Section: ) Services Life-cycling and Analytics/aimentioning

confidence: 99%

Platforms for Smart Environments and Future Internet Design: A Survey

Alberti

Santos²,

Souza³

et al. 2019

IEEE Access

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“…The sensor's data which is collected from the IR sensor is then transmitted with the help of the Wifi transmitter which is received by the raspberry controller in the system. Tärneberg et al, [18] is discussing the concept of public cloud such as Amazon Web Services (AWS) that can be used for storing the live data. The use of public clouds which supports the connected devices and IoT which connects all this is growing nowadays.The main goal of the research into sense the data with the help sensors and the accuracy of the data is also a goal in the field of research.…”

Section: Related Workmentioning

confidence: 99%

An algorithm for IoT based vehicle verification system using RFID

Samuel

Sebastian

2019

IJECE

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The verification of vehicle documents is an important role of transport department which is rising day by day due to the mass registration of the vehicles. An automated vehicle verification system can improve the efficiency of this process. In this paper, we propose an IOT based vehicle verification system using RFID technology. As a result, the vehicle checking which is done now manually can be replaced by automation. There is a loss of a significant amount of time when the normal vehicle checking is done manually. The proposed system will make this process automated. The present verification process is using inductive loops that are placed in a roadbed for detecting vehicles as they pass through the loop of the magnetic field. Similarly, the sensing devices spread along the road can detect passing vehicles through the Bluetooth mechanism. The fixed audio detection devices that can be used to identify the type of vehicles on the road. Other measurements are fixed cameras installed in specific points of roads for categorising the vehicles. But all these mechanisms cannot verify the documents and certificates of the vehicles. In our work, we have suggested an algorithm using RFID technology to automate the documentation verification process of the vehicles like Pollution, Insurance, Rc book etc with the help of RFID reader placed at road checking areas. This documents will be updated by the motor vehicle department at specific periods.

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“…Their effort reveals significant latency and energy usage improvements compared to distant DCs. Additionally, we have in a previous work [5] studied the performance of cloud native applications on commercially available platforms in a smart city context. iFogSim [6] offers a platform for abstract modeling of resource management techniques in IoT and edge cloud environments, through simulation.…”

Section: Related Workmentioning

confidence: 99%

Towards Mission-Critical Control at the Edge and Over 5G

Skarin

Tärneberg

Årzén

et al. 2018

2018 IEEE International Conference on Edge Computing (EDGE)

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With the emergence of industrial IoT and cloud computing, and the advent of 5G and edge clouds, there are ambitious expectations on elasticity, economies of scale, and fast time to market for demanding use cases in the next generation of ICT networks. Responsiveness and reliability of wireless communication links and services in the cloud are set to improve significantly as the concept of edge clouds is becoming more prevalent. To enable industrial uptake we must provide cloud capacity in the networks but also a sufficient level of simplicity and self-sustainability in the software platforms. In this paper, we present a research test-bed built to study mission-critical control over the distributed edge cloud. We evaluate system properties using a conventional control application in the form of a Model Predictive Controller. Our cloud platform provides the means to continuously operate our mission-critical application while seamlessly relocating computations across geographically dispersed compute nodes. Through our use of 5G wireless radio, we allow for mobility and reliably provide compute resources with low latency, at the edge. The primary contribution of this paper is a state-of-the art, fully operational test-bed showing the potential for merged IoT, 5G, and cloud. We also provide an evaluation of the system while operating a mission-critical application and provide an outlook on a novel research direction.

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Experiences creating a framework for smart traffic control using AWS IOT

Cited by 41 publications

References 6 publications

Platforms for Smart Environments and Future Internet Design: A Survey

Platforms for Smart Environments and Future Internet Design: A Survey

An algorithm for IoT based vehicle verification system using RFID

Towards Mission-Critical Control at the Edge and Over 5G

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