IoT-centered business models and value chains have become matured, consolidated, and popular. These IoT applications are effectively accelerating the digitalization and automation progress of various traditional industries. As a result, they have generated tremendous economic and technical benefits to our industries, as well as huge impacts on productivity.

A typical IoT system uses a large number of sensors in the field, effectively expand its service coverage and capability in sensing, collecting, and processing the acquired data obtained from the physical world. Selected data with potential values, e.g., characteristics of unexpected events, will be transmitted from different sites through multi-hop communication networks to a centralized computing facility, such as a data center, for further in-depth investigation. The redundant data will be aggregated or filtered for saving scarce communication resources, i.e., bandwidth, storage, and energy.

The latest advancements in cloud computing and big data technologies enable fast and accurate analysis of huge volumes of structured and non-structured data, creating lots of business opportunities for the development of more sophisticated and intelligent IoT systems. The continuous progress and widespread deployments of IoT technologies have been transforming many industrial sectors.

The key function and challenge for IoT systems are innovative knowledge creation, which requires high-quality data, super-intelligent algorithms, and more computing resources everywhere. Ionicks is trying to provide this fundamental change, while the IoT hosting by Ionicks will fill the computational gap along the continuum from cloud to things.

Ionicks provides communication between Internet-connected devices such as sensors, actuators, embedded micro-controllers, or smart appliances and the Ionicks hosting service. This enables you to collect telemetry data from multiple devices and store and analyze the data. You can also create applications that enable your users to control these devices from their phones or tablets.

MQTT
MQTT is the perfect machine-to-machine (M2M) protocol. It is based on the publish-subscribe model, used to communicate device parameters to the servers. The main purpose of MQTT is to allow machines to talk to each other. Ionicks provides MQTT service with a secured mechanism for devices and IoT applications to publish and receive messages from each other. You can use either the MQTT protocol directly or MQTT over WebSocket to publish and subscribe.

MongoDB
NoSQL databases are more scalable, offering flexibility in data models for the Internet of Things. IoT applications process great volumes of data from sensors so the system will need to scale quickly and inexpensively. Now IoT has many more possibilities with the newer Big Data technology like MongoDB. Ionicks provides MongoDB service, which is the next-generation database that helps businesses transform their industries by harnessing the power of data. Cutting-edge startups and large companies use MongoDB to create applications like never before possible at a fraction of the cost of legacy databases. MongoDB is a fast-growing database ecosystem, with over 30 million downloads, thousands of customers, and over 1,000 technology and service partners.

REST API
RESTful APIs provide IoT developers a good, standard architecture for reliably connecting applications and devices communicate over the Internet. Ionicks provides REST Api service, facilitating data sharing between MongoDB and web or mobile applications, which has always been a fundamental requirement of software development.

Data Aggregation
Data aggregation is the process of gathering and summarizing data from multiple IoT sources. It can give solutions to analytical questions and greatly reduce the time required to query large data sets. The main rationale behind data aggregation is that it minimizes energy depletion and the required network bandwidth. The use of different IoT data aggregation methods, applied by Ionicks, eliminates redundant data classify the necessary data according to the customers’ need.