Repeated data management framework for IoT: A case study on weather monitoring and forecasting

Abstract

Internet of Things (IoT) is a networking paradigm, which connects People, Pets, Plants, Things and smart objects over the internet. IoT plays a very important role in every aspect of the life such as Environmental monitoring, Health monitoring, Crop monitoring, Vehicle monitoring and other applications. The objective of the proposed system is to monitor the environment periodically by analyzing the collected data from the sensors and managing the analyzed data. MongoDB database is used to store the data collected from the sensors, as it supports fast read and write operations. The amount of data generated from these sensors is huge and repeated. Repeated data is defined as the collection of identical values generated at the different interval of time continuously. This data takes more time to process which intern increases the network load. The aim of the proposed system is to minimize the overhead caused by repeated data in IoT.