Towards Fog Computing Based Cloud Sensor Integration For Internet Of Things

Abstract

The Internet of Things (IoT) interconnects various identifiable devices within Internet for sensing and monitoring processes. In particular, Wireless Sensor Network (WSN) is formed by connecting identifiable devices like smart sensor, embedded CPU (Central Processing Unit), low power radios, to the internet through gateway that interfaces WSN to the internet. To handle the large amount of data generated by devices in IOT environment, cloud infrastructure provides Sensing as a Service(SeaaS) which can make sensor data available in cloud infrastructure for sensing and observing the environment conditions. Today’s cloud models are not designed for the volume, variety, and velocity of data that the IoT generates. Handling the volume, variety, and velocity of IoT data requires a new computing model. In this paper, we surveyed some typical applications of Sensor Network using Cloud computing as backbone spotlighting on fog computing to overcome some of the management issues of cloud computing and to handle time-sensitive data. Since Cloud computing provides plenty of application, platforms and infrastructure over the Internet, it may combined with Sensor network and fog computing in the application areas such as environmental monitoring, weather forecasting, transportation business, healthcare, military application etc which requires to handle within a second.