Abstract
Abstract. This paper discusses how to address and overcome some of the problems related to smart data generation and visualization, such as the poor autonomy of wireless sensor devices and the flexibility of the data management platform. We described the implementation and field experiment of a modular IoT application for Smart-Farming, in which the sensor devices are powered by an on-board battery and the data management system is based on a highly flexible software stack, capable of displaying time series graphs and processing millions of data per second. The experiment shown that the power consumption of the sensor devices depends on many factors and that the lifecycle of the devices can reach years using ultra-low power processors, low power wide area network (LPWAN) such as LoRaWAN and a mix of energy saving techniques. The data management and visualization platform shown to be able to display many types of time-series graphs, deal with a wide variety of data-sources and effectively manage a large amount of data.
Highlights
1.1 Smart Data and Smart ServicesSmart Cities promise to improve lives of people by meeting their needs through sustainable, energy-efficient and socially innovative solutions, i.e. solutions that produce less pollution, consume less energy and offer a new set of services
In the IoT applications field with the deployment of hundreds or thousands of nodes arranged over large geographic areas, such as in the case of Smart-City or Smart-Region, low power wide area network (LPWAN) (Low Power Wireless Area Network) networks are of extreme interest on account of the fact that, in the face of a reduced transmission rate and unsecured quality of service, they offer the possibility of implementing long-range networks with low-cost devices that can remain in operation for years powered by simple ZincCarbon batteries
The System is composed by a sensor device based on LoRa radio technology that use The Things Networks LoRa Wide Area Network (LoRaWAN) services and an application server built on the TIG stack architecture
Summary
Smart Cities promise to improve lives of people by meeting their needs through sustainable, energy-efficient and socially innovative solutions, i.e. solutions that produce less pollution, consume less energy and offer a new set of services. These new services will be based on data and will benefit from new technologies that are already available or that will soon be available (i.e. 5G, LP-WAN, smart-grid, energy harvesting techniques, etc..). The characteristics of existing in large quantities, large varieties and having high throughput rates are common to those sources This data must be filtered by interest and correlated with each other to make the intelligent service useful for people to guide their choices, anticipate their future needs and receive the right information based on the specific context. We describe the implementation and field trial of an IoT system to generate, collect and display Smart Data addressing the problem of the autonomy of sensor devices and the flexibility and efficiency of data management and visualization
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