What's Next for the Internet of Things?
The initial technology maturity curve for iot development is only based on an increase in the number of deployed and potential sensors. Today, we can look to the future and explore some important success factors. Future trends in the Internet of things, including IoT applications, will bring economic benefits to end users. There is also a trend towards longer battery life, lasting for years. In any wireless iot monitoring system, data transmission consumes power. Therefore, the perception and processing take place at the edge nodes through intelligent partitioning, and the amount of data is reduced (in a more sporadic or shorter period) through local decisions, thus bringing significant added value to the iot system. Finally, the key element of the future is the ability to operate safely and reliably. Therefore, for successful iot systems, the focus of iot design will shift to key performance indicators such as trusted sensors and system uptime. Analysts estimate that low - cost development systems are currently in the Peak of expectation inflation. In the next two to five years, differentiated or specialized high - precision sensors and analog signal chains will become the mainstream and truly push the Internet of things market into the future. Importance of Good Data A key process in iot systems is the conversion of analog signals into digital signals. Simply put, the better the transformation,the more useful the data. Silicon technology innovates to transform and interpret the world around it, bridging the real and digital worlds through detection, measurement, interpretation, and connectivity. The most effective iot deployment is the ability to use this data to determine change. And best change is the biggest value for end customer, such as higher efficiency and higher security, such as in factories, machine learning is not only able to identify when may need to machines for predictive maintenance in the future, but also can identify the details and reach a higher level of recognition, to determine what action to take (for example, to identify specific ball bearing in motor wear). Therefore, the first stage of any iot system is to detect, measure, and then convert real-time signals into analytical data. How well this stage is completed will lay the foundation for future success. If the wrong information data is entered, the results obtained from any iot analysis cloud platform will also be wrong. Therefore, the most successful iot systems have to have measurement and reporting levels that other systems cannot. This needs to improve measurement and reporting makes good hardware essential. A recent Gartner report said the same. Report that they are low cost iot development look fast into the bubble period of disillusionment (trough of disillusionment. This may be due to the plethora of low-cost development platforms available. But I think it's more likely that we're focusing on more challenging iot applications that have more real economic valu...