Simulation of Internet of Things Network for Big Data Analytics

In recent years there has been a tremendous amount of data generated from various wireless sensor networks. These sensor networks generate a large volume of data. Traditional data processing systems do not process these data. An effective analytical model is required for efficient design and implementation of WSN's and the data collection, processing, and analytics to process this type of data. The complex data collected from the sensors can be called big data. Drawing the insights from the data collected is a challenging task in real-time analysis. This paper discusses big data characteristics, types of data analytics and their applications in the IoT environment. All the WSN's consist of sensing devices associated with few resources, and they are connected wirelessly. As a part of IoT analysis, in this paper Contiki operating system is used along with the Cooja simulator to simulate an IoT network. The number of motes can be used to communicate with each other. This paper focuses on IoT generation and its analysis using Hadoop framework tools.