Stabilizing Sensor Data Collection for Control of Environment-Friendly Clean Technologies Using Internet of Things

Abstract

The Internet of Things (IoT) is a network formed by smart devices whose core contains embedded technology in order to collect sensory information and exchange it with every single device present within the network. One major challenge in IoT is data stabilization of the sensory data collected by smart devices before it is fed into the cloud. Data collected by sensing devices suffer with random glitches, variation in volume; inter packet delay and data packet loss due to inline power fluctuations. The cleaning and filtration of such noisy characteristics must be done before restoring this raw data to some global repository. This paper advises a method for clean monitoring of captured environmental parameters and proposes few algorithms that help in stabilizing the captured sensory data on the basis of data packet volume, inter packet delay, data type and random amplitude levels. Such an approach supports service level implementation required by an enterprise for deploying error free stabilized data collection without any ambiguity in order to compute an accurate and sustainable result required for effective environmental parameter analysis.