Selection of Protocols for Integration of Sensory Data Networks in Cloud Structures

Abstract

The striving to obtain more detailed information about the environment and control various processes leads to an increase in the number of connected sensor devices in various industrial areas. The collected large amount of data can be analysed in real-time. The sensors that build up the WSN have limited hardware resources and cannot process large amounts of data. The integration between WSN and cloud structures is an excellent method for storing, processing, accessing data via the Internet and solves the issue of the limited capacity of WSN. The big challenge to designing the WSN - cloud systems is establishing a communication channel (through different protocols) between devices in the network and cloud platforms. This project executes/perform a real experiment on the XBee sensor network and the ThingSpeak cloud, and the data transmission between them is forwarded using different protocols (HTTP, HTTPS, MQTT and MQTT-SN). The influence of the parameters of the transmitted packet on the delay, the CPU, RAM load has been studied. The results give some advantages of MQTT over other protocols in terms of data rate, CPU and RAM load when working with XBee sensor modules and integration between WSN and cloud structures.

Delay of Transmitted Data in the Remote Patient Monitoring System through AMQP and CoAP

“…According to the standard, there are three types of devices, each with transmission power and coverage ranging from 1 to 100 m and up to 3 Mbps data rate. In [24], a real-world environmental monitoring system was built, including the XBee sensor network and ThingSpeak cloud. Data transmission between them is carried out with the following protocols: MQTT, MQTT-SN, HTTP and HTTPS.…”

Reducing Delay and Packets Loss in IoT-Cloud Based ECG Monitoring by Gaussian Modeling

“…MQTT (Message Queuing Telemetry Transport) is a lightweight, publish-subscribe messaging protocol which allows devices to send and receive messages asynchronously that is often used in IoT applications [30], [31], [32] with different levels of quality of service (QoS) to optimize for different types of communication which allow users to specify the level of reliability they require for each message includes three levels of Quality of Service which determine the level of reliability in the delivery of messages. QoS0 ensures that a message is delivered at least once, but may not guarantee delivery to the intended recipient.…”