Modeling Real-Life Urban Sensor Networks Based on Open Data

Abstract

Epidemics and pandemics dramatically affect mobility trends around the world, which we have witnessed recently and expect more of in the future. A global energy crisis is looming ahead on the horizon and will redefine the transportation and energy usage patterns, in particular in large cities and metropolitan areas. As the trend continues to expand, the need to efficiently monitor and manage smart city infrastructure, public transportation, service vehicles, and commercial fleets has become of higher importance. This, in turn, requires new methods for dissemination, collection, and processing of data from massive number of already deployed sensing devices. In order to transmit these data efficiently, it is necessary to optimize the connection structure in wireless networks. Emerging open access to real data from different types of networked and sensing devices should be leveraged. It enables construction of models based on frequently updated real data rather than synthetic models or test environments. Hence, the main objective of this article is to introduce the concept of network modeling based on publicly available geographic location data of heterogeneous nodes and to promote the use of real-life diverse open data sources as the basis of novel research related to urban sensor networks. The feasibility of designed modeling architecture is discussed and proved with numerous examples of modeled spatial and spatiotemporal graphs, which are essential in opportunistic routing-related studies using the methods which rely on graph theory. This approach has not been considered before in similar studies and in the literature.

Urban Delay-Tolerant Multicast Using Uncontrolled Mobile Relay

“…The goal of the simulation study is the multi-criteria evaluation and comparison of the introduced multicast algorithms. Therefore, the simulation and analysis approach makes use of our network modeling architecture introduced in [9]. In that article, the typical characteristics of the sources of the urban nodes' location data are also discussed and multiple open-data examples are provided and analyzed.…”

“…The conducted research and analysis presented in [9] indicate that open data sources which meet the requirements of the study exist for only four Polish cities. Other Polish urban areas do not yet provide any similar data or provide them in a limited scope.…”

“…Recently, an increasing number of publicly available data sources have emerged, which enable online access to the geographical location of stationary and mobile urban nodes of interest. As a result, a new open-data-based heterogeneous sensor network modeling approach was introduced by Musznicki et al [9]. This novel methodology was then concretized and thoroughly investigated [10].…”

LoRaWAN Metering Infrastructure Planning in Smart Cities

“…Under these assumptions, terminal devices can be battery-powered or operate autonomously using photovoltaic cells. In some technologies and radio bands short-range communication is used [5], whereas in others, it can span from hundreds of meters to several kilometers, and the network can be designed in a star topology. As a result, routing issues in this network type are deemed insignificant and are not considered or addressed [6,7].…”

Detecção de Ameaças de Injeção de SQL em Serviços de Computação Urbana

“…Este paradigma atua através da implantac ¸ão de servic ¸os que utilizam informac ¸ões oriundas de um volume massivo de dados heterogêneos coletados em grandes cidades, e de diversas fontes [Rodrigues et al 2019]. A coleta de dados ocorre através de diferentes tecnologias de sensoriamento remoto, técnicas de gerenciamento e modelos analíticos [Musznicki et al 2022]. Uma vez que esses dados são coletados, deve-se utilizar técnicas de processamento e armazenamento, já que isto envolve a manipulac ¸ão de um grande volume de dados oriundos de grandes centros urbanos, com muitos dispositivos operantes, e bastante troca de informac ¸ão.…”