"Microservices are especially well suited for the IoT because of the machine-to-machine capacity of the latter. In particular, numerous IoT or Industrial Internet deployments involve machine ...

Machine-to-Machine (M2M) communication in cellular networks underpins the growing ecosystem of the Internet of Things (IoT), enabling vast arrays of devices to exchange information autonomously.

This paper delves into the utilization of reconfigurable architecture integrated with machine learning (ML) to advance edge computing for Internet of Things (IoT) devices. The proposed framework ...

As deployment of Internet of Things (IoT) devices gain momentum, there is an increased interest in implementing machine learning (ML) algorithms on IoT devices.

Eclipse IoT now includes 15 projects collectively aiming to reduce the complexity of developing IoT/M2M solutions. Most of the Eclipse literature on this initiative uses that "IoT/M2M" label, because ...

The Internet of Things explosion has everyone asking questions about security. Those questions are valid and complex. The answers are just as complex as the questions.

Rising demand for IoT applications in industrial sectors notably for smart manufacturing to generate revenue streams in IoT connected machines marketWilmington, Delaware, United States, Aug. 26 ...

New Delhi: Telecom Regulatory Authority of India (Trai) will soon initiate a consultation process for formulating a framework to govern machine-to-machine communication and Internet of Things (IoT ...

Mehrdad Negahban and Kevin Kostiner discuss an architecture for M2M communication using cloud to switch, route and enable meaningful conversation among devices based on machine learning technology.