A novel of congestion control architecture using edge computing and trustworthy blockchain system

Abstract

Recently, Vehicular Ad-hoc Network (VANET) has been one of the emerging fields of research. Many researchers are doing their research on various challenges of VANET. Congestion or blockage has become a critical issue in intelligent transportation systems, and this problem may arise daily due to the usage of smart technology in VANET. So we need some mechanism which controlscongestion. This paper present the trustworthy, long-lasting and consistent block chain congestion control mechanism using the heterogeneity of Dullening Nural Network (DNN), Q-Learning, and Software Define Network (SDN) model for an accurate result, fixed infrastructure, together with a correct prediction of congestion when it occurs at the edge of the network and give the fast and correct decision of congestion w.r.t VANET trust, Quality of service (QOS) and other vehicles current request. The focus of our research is on distributed SDN Technology and block chain technology for the development of smart cities and linked vehicles. So we proposed an inexpensive mechanism with low latency and a low bandwidth block chain system. Based on the Simulation result, our proposed architecture gives 82% and 98% reliability and efficiency gain in a congestion environment compared to traditional approaches. This paper aims to increase throughput, Packet Delivery Ratio (PDR), energy consumption time, and less end-to-end delay and routing overhead during communication.

An efficient routing protocol to reduce traffic and congestion control in cloud edge networks of wireless sensor networks

“…The routing protocol is determined as a congestion control device and determines the network capacity and resources. The lowering of data in WSNs is due to a lack of congestion control devices in the network 4 . The priority methods employed in WSNs optimize resource utilization by considering the resource‐constrained nature.…”

“…The lowering of data in WSNs is due to a lack of congestion control devices in the network. 4 The priority methods employed in WSNs optimize resource utilization by considering the resource-constrained nature. The sensor nodes conveyed the traffic situation and influenced the energy proficiency of administration boundaries.…”