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The development of revolutionary wireless networks will ultimately result in the availability of high-speed, low-latency connection for all aspects in daily life. 5G will be providing ubiquitous broadband access, enhance user mobility, and enable ultra-reliable and cost-effective networking of a large number of devices (e.g., Internet of Things (IoT)). Cloud computing, Software Defined Networking (SDN), and Network Function Virtualization (NFV) are the primary technical enabling developing potential usage in 5G.

This report will present three layers namely 6TiSCH layer, Edge layer and Cloud layer. In Edge layer, effective offloading is done by using Soft Actor Critic (SAC) algorithm for reducing the energy consumption during offloading. Finally all the processed data are sent to the cloud layer for accessing. The proposed work is experimented using Cooja simulation tool with contiki 3 OS. The performance of the proposed work is compared to the existing works in terms of Latency (42ms-20.4ms) low, energy consumption (28.8J-12J) low in 6TiSCH layer, Latency (40ms-20.4ms) low, energy consumption (24.8J- 13.6J) low in Edge layer and overall comparison achieves throughput (508.8Kbps-322Kbps) high, packet delay ratio (8%-4.6%) high, end-to end delay (6s-9s) low and efficiency (14.6%-7.8%) high. The experimental results show that our proposed work performs well than existing works.

In this report an applied method for building distributed control systems for adaptive control of traffic flows under conditions of a dynamically changing traffic load is proposed, which analyzes the initial data and develops the necessary elements of a distributed control system and their characteristics, namely: the control system is built from a set of ready-made elements, the formation of quantitative and qualitative characteristics of which occurs depending on their location on the road network section.