• Mridul
• Rohit Vats
• Mr. Rajesh Pandey

The Internet of Things (IoT) is a network of interconnected devices that allows for the sensing and monitoring of processes. In specifically, a Wireless Sensor Network (WSN) is created by connecting identifying devices to the internet, such as smart sensors, embedded CPUs, and low-power radios, through a gateway that connects WSN to the internet. To deal with the enormous quantity of data produced by devices in an IoT context, cloud infrastructure offers Sensing as a Service (SeaaS), which allows sensor data to be made accessible in cloud architecture for sensing and monitoring environmental conditions. The amount, diversity, and velocity of data generated by the IoT are unsuitable for today's cloud architectures. To deal with the amount, diversity, and velocity of IoT data, a new computing paradigm is required. In this article, we looked at several common Sensor Network applications that use cloud computing as a backbone, with a focus on fog computing to overcome some of cloud computing administration problems and to handle time-sensitive data. Because cloud computing offers a wide range of applications, platforms, and infrastructure over the Internet, it can be used in conjunction with sensor networks and fog computing in applications such as environmental monitoring, weather forecasting, transportation, healthcare, and military applications, among others.

WSN, Cloud Computing, Fog Computing, Csaas, Internet of Things.

"Towards Cloud Sensor Integration based on Fog Computing for the Internet of Things", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.275-280, August-2018, Available :http://www.jetir.org/papers/JETIRFF06048.pdf

"Towards Cloud Sensor Integration based on Fog Computing for the Internet of Things", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp275-280, August-2018, Available at : http://www.jetir.org/papers/JETIRFF06048.pdf