• AVINASH KUMAR
• Dr. Satendra Kurariya

The Internet of Things (IoT) is spreading much faster than the speed at which the supporting technology is maturing. Today, there are tens of wireless technologies competing for IoT and a myriad of IoT devices with disparate capabilities and constraints. Moreover, each of many verticals employing IoT networks dictates distinctive and differential network qualities. In this work, we present a context-aware framework that jointly optimises the connectivity and computational speed of the IoT network to deliver the qualities required by each vertical. Based on a smart port application, we identify energy efficiency, security, and response time as essential quality features and consider a wireless realisation of IoT connectivity using short range and long-range technologies. We propose a reinforcement learning technique and demonstrate significant reduction in energy consumption while meeting the quality requirements of all related applications.

Cloud Processing, Wireless, IOT Networks, IoT devices, IoT network, IoT connectivity.

"A STUDY OF CLOUD PROCESSING IN WIRELESS IOT NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.1305-1315, April-2019, Available :http://www.jetir.org/papers/JETIR1904R91.pdf

"A STUDY OF CLOUD PROCESSING IN WIRELESS IOT NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp1305-1315, April-2019, Available at : http://www.jetir.org/papers/JETIR1904R91.pdf