Enabling Efficient Usage of data with IoT
The Internet of Things (IoT) is a popular concept and is quickly growing and taking root in different industries. It has the capacity to offer multiple applications. However, with the increase in the number of smart devices in a network, it becomes difficult to manage the data, which is required for efficient communication and decision making.
The efficient data usage is possible when we employ user-defined databases. It allows us to compress the smart device and improve the overall efficiency of the applied IoT technology.
User Defined Databases (UDDs)
The internet of things relies on the use of smart devices that are capable of transferring information to other devices or a central system, such as a smartphone or a personal computer. In IoT, a UDD can be helpful as it will be initiated as a local database created by the individual devices, and then copied to the central system. A local database has the capacity to reduce the need for transferring large chunks of information to the central system.
Creation of UDD ensures that you already have a set of values available for quick referencing and swift communication between the smart devices. This speeds up the performance of IoT systems and ensures efficient usage of data. UDDs also have other benefits. They allow the use of the functionality on offer in embedded devices. Databases can enhance functionality as well, because they can be employed to reduce communication needs, while increasing the capacity to perform processing near the end node of smart sensors.
Data compression is possible when you can come with a set of rules and use a system like relational databases to carry out the required communication. There are several IEEE approved methods which can be used to compress text and other information elements that transfer information between IoT enabled devices.
Data compression techniques are important for improving the performance of various IoT applications. For instance, formats like Gzip, Deflate and Lzo compression can improve the efficiency of storing IoT device data, as well as improving the retrieval speed when a data item is required by the processing system in an application.
The use of RCFile storage may offer an ideal solution in this regard, as it allows for an improved compression ratio. The point of using these schemes is to ensure uniformity in IoT applications and a reduced need for communicating data between the different devices that are part of a smart networking solution.
Another implied method is the use of Singular value decomposition that can reduce the volume of data that needs to be transferred from smart devices to the network node responsible for decision making. Data compression methods add more value to decentralized communication as well, and can overall improve the IoT performance parameters.
With IoT enabled devices appearing in smart homes, vehicles and countless other applications, there is certainly a need to experiment with concepts such as well-defined UDD and data compression to improve data usage.