Processing at the Edge: A Case Study with an Ultrasound Sensor-Based Embedded Smart Device

Electronics

Juan-José Sáenz-Peñafiel¹  Pedro Uribe-Chavert²  Jose-Luis Poza-Lujan³  Juan-Luis Posadas-Yagüe³ 

[1] Dirección de Investigación, Universidad de Cuenca, Av. 12 de Abril, Cuenca 010107, Ecuador;Doctoral School, Universitat Politècnica de València, Camino de Vera, s/n, 46022 Valencia, Spain;Research Institute of Industrial Computing and Automatics, Universitat Politècnica de València, Camino de Vera, s/n, 46022 Valencia, Spain;

关键词: embedded device;    edge and fog computing;    smart cities;    ambient intelligence;   

DOI  :  10.3390/electronics11040550

来源: DOAJ

【 摘 要 】

In the current context of the Internet of Things, embedded devices can have some intelligence and distribute both data and processed information. This article presents the paradigm shift from a hierarchical pyramid to an inverted pyramid that is the basis for edge, fog, and cloud-based architectures. To support the new paradigm, the article presents a distributed modular architecture. The devices are made up of essential elements, called control nodes, which can communicate to enhance their functionality without sending raw data to the cloud. To validate the architecture, identical control nodes equipped with a distance sensor have been implemented. Each module can read the distance to each vehicle and process these data to provide the vehicle’s speed and length. In addition, the article describes how connecting two or more CNs, forming an intelligent device, can increase the accuracy of the parameters measured. Results show that it is possible to reduce the processing load up to 22% in the case of sharing processed information instead of raw data. In addition, when the control nodes collaborate at the edge level, the relative error obtained when measuring the speed and length of a vehicle is reduced by one percentage point.

【 授权许可】

Unknown