Communication Protocol Stack for Constrained IoT Systems

Sharma, Cheena; Gondhi, Naveen Kumar

doi:10.1109/iot-siu.2018.8519904

Cited by 61 publications

(21 citation statements)

References 13 publications

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“…A lot of effort has been put on the standardization of IoT protocols [238][239]. It has led to a more consolidated choice of a few alternatives [240]. For instance, CoAP [241] and MQTT [242] are largely used depending on applications needs.…”

Section: B Interoperability Valuementioning

confidence: 99%

Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models

2020

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Section: B Interoperability Valuementioning

confidence: 99%

Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models

2020

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“…The authors in [19][20][21] review the protocols used in IoT. A comparison of these protocols can be found in [20].…”

Section: Iot Messaging Protocolsmentioning

confidence: 99%

“…The authors in [19][20][21] review the protocols used in IoT. A comparison of these protocols can be found in [20]. In [19], an IoT platform is presented that supports multiple application layer communication protocols providing a unique environment.…”

Section: Iot Messaging Protocolsmentioning

confidence: 99%

An Internet of Thing Architecture Based on Message Queuing Telemetry Transport Protocol and Node-RED: A Case Study for Monitoring Radon Gas

2021

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This work aims to monitor air quality in places where humans spend most of their time, such as workplaces and homes. Radon gas is a naturally occurring, colourless, odourless and tasteless gas that accumulates in enclosed spaces. It is a radioactive element produced by the decay of its natural parent elements, uranium and thorium, which is harmful to our respiratory system when inhaled. The Internet of Things (IoT) is the key to the problems of contemporary life; we are witnessing an emerging connected world, and these architectures have the potential by using sensors to take data from the physical world, transfer it over the network and store it for further decision making or action. The proposal of this work is based on a radon sensor connected to an IoT device, the Message Queuing Telemetry Transport protocol (MQTT), the Node-RED for managing data flows and a database management system on a web server. The information collected by the sensor is sent by the IoT device to be processed by Node-RED. The obtained data is stored in a database to be represented on a web server. Therefore, this work includes a case study where the technologies involved in the indoor radon gas monitoring system are presented. It is a way to perform radon gas measurements automatically. The final application would allow: displaying radon concentrations on a map with placemarks and updating the information in real-time. The database could record data from other radon sensors that any user wants to associate with this website.

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“…The choice of activation function for the output is based on the returned value of the output layer. Since the output layer will return either 0 or 1, the Sigmoid function is considered very suitable for this purpose (Sharma and Gondhi;Ronaghan 2018). The ReLU and Sigmoid activation function is represented mathematically in Eqs.…”

Section: Model Architecturementioning

confidence: 99%

A Hybrid Machine Learning Method in detecting anomalies in IoT at the fog layer

Ayodele

Jones

2021

Preprint

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With the rapid growth and utilization of IoT devices around the world, attacks on these devices are also increasing thereby posing a security and privacy issue for industry providers and end-users alike. A common way to detect anomaly behaviour is to analyze the network traffic and categorize the outcome into benign and malignant traffic. With an increase in network traffic and sophistication of attacking techniques daily, there is a need for a state-of-the-art pattern recognition technique that can handle this ever increasing and ever-changing traffic and can also improve over time as attacks become more sophisticated. This research paper proposes a hybrid model for anomaly detection at the IoT fog layer using an ANN as a base model and several binary classifiers (which served as meta-classifiers) connected in series. The proposed model was tested and evaluated on a dataset of ‘x’ observations, demonstrating that such a model is both highly effective and efficient in detecting IoT network traffic anomalies.

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Communication Protocol Stack for Constrained IoT Systems

Cited by 61 publications

References 13 publications

Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models

Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models

An Internet of Thing Architecture Based on Message Queuing Telemetry Transport Protocol and Node-RED: A Case Study for Monitoring Radon Gas

A Hybrid Machine Learning Method in detecting anomalies in IoT at the fog layer

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