AI Based Wireless Sensor Networks in Real Time Traffic Monitoring using Spherical Grid Routing Protocol
Jai Prakash Prasad · Zenodo (CERN European Organization for Nuclear Research) · 2021
the crucial part of the smart traffic management mechanism has been a collective power stream of vehicles, including cars and bicycles. A tourist's stream varies through the day, so it is very important to adopt this Traffic Control Approach to gain a versatile charge of the time of traffic lighting. The Internet of Things, an integration of Wireless Sensor Networks, has nearly every part of life (WSNs). A smart city is a new concept, and it is introduced through smart nodes such as smart parking, health centers, smart infrastructure, and banking in the real world. In this article, using a smart city wireless sensor network, we have presented an adaptive traffic management system. Our device has various nodes in the area, including routes, artifacts, and traffic signals, and each node is connected, and each node shares the traffic rate with the vehicle info. In terms of distance and time, they also have faster and more traffic-free paths. This paper introduces and analyses a novel configuration of a wireless sensor network system using WSN-Spherical grid routing for traffic jam detection and avoidance. We propose to investigate how techniques of artificial intelligence (AI) can be used to help wireless sensors accurately capture a measure of interest within the sensor network constraints. A machine that is also used for the control and surveillance of traffic. The main principle of this paper is to provide a routing-based framework to provide useful real-time information to avoid congestion and minimize delays and to use its metrics to measure network performance.