Data Delivery in Internet of Things using Hot-Data and Cold-Data

Abstract

IoT (Internet of Things) have shaped the world in such a way that many objects can recognize, connect and share all information organized in exact way with one other on public and private Internet protocol networks. The data is collected on regular basis by organized things which is supplementary evaluated and used to initiating actions. These are further very suitable in planning, decision making, and management at required stages. There are also numerous sensors, devices and mainframes which are interconnected to each other by fiber and wireless etc. Many varied networks are also created when data travels from source to its destination and at the same time platforms face a lot of trials associated to the data crowding and falling due to the collision. In addition, it also leads to the bottle neck used for data traffic, which is generated due to connections of many devices on internet. There are a lot of architectures and simulation which are very useful in briefing data distribution in IoT. The paper illustrates about approach that should be followed to select the most suitable platform for data delivery in IoT. We have also researched most of the existing data delivery methods for delivering real time data in a typical IoT implementation using hot-data and cold-data.