A data acquisition method based on mobile vehicles in edge network of smart city

Abstract

The invention discloses a mobile vehicle-based data acquisition method in a smart city edge network. The method comprises: enabling sensor nodes to acquire hop counts of vehicles; evaluating the transmission overhead from the alternative cluster heads to the vehicle according to the transmission distance to the vehicle and the residual energy, and selecting the alternative cluster head with the minimum overhead as a cluster head node; according to the transmission distance from each candidate father node to the vehicle and the minimum node energy in the path, evaluating the transmission overhead from the source node to the vehicle through each candidate father node, and selecting the candidate father node with the minimum overhead as the father node of the candidate father node; for the source node with the hop count of 1 and the non-cluster head, taking the cluster head node as a father node; and enabling each sensor node to send the cached data and the received data to the father node, and finally sending the cached data and the received data to the vehicle through the cluster head. According to the method, the cluster head and the father node are selected by considering the transmission distance and the residual energy factor, so that an energy cavity phenomenon caused by premature death can be avoided, and data acquisition is effectively completed.

Description

technical field [0001] The invention relates to the field of data collection, in particular to a data collection method based on a mobile vehicle in an edge network of a smart city. Background technique [0002] Smart city is the trend of future urban development. Sensors can be embedded in the city's infrastructure to perceive its status, and have a wide range of applications in the process of building smart cities. The Internet of Things uses sensing devices to connect different types of infrastructure to the Internet, making the dream of smart cities gradually become a reality. Through extensive network interconnection, sensing devices can quickly collect a large amount of data, and the processed data can provide scientific decision-making support for municipal departments and help promote the intelligent management and development of cities. The realization of the bright future of smart cities requires not only fast and flexible deployment of sensing devices in cities, ...

AI Technical Summary

Problems solved by technology

However, in the existing vehicle-based data collection methods, only the data collection of a single sensor node on the side of the road is involved, and there is no sensor node that is far away from the road and cannot communicate with the vehicle. All sensor nodes in a large number of deployed and separated WSNs perform data collection

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