Large-scale mobile sensing enabled internet-of-things testbed for smart city services

Smart cities are one of the key application domains for the Internet-of-Things paradigm. Extending the Web into the physical realm of a city, by means of the widespread deployment of spatially distributed Internet-addressable devices with sensing and/or actuation capabilities, allows improving efficiency of city services. Vehicles moving around the city become excellent probes when the objective is to gather information across the city in a cost effective manner. Public transportation fleets, taxis, or vehicles such as waste collection trucks cover most of the urban areas with a limited number of vehicles. This paper presents the deployment of a large scale Internet-of-Things testbed that has been carried out in the city of Santander. It extends previous descriptions by providing a specification of one of the unique features of the testbed, namely, the devices that have been installed on 140 buses, taxis, and vans that every day drive around the city. Besides the physical characteristics of the devices installed and the lessons learnt during the deployment, the paper introduces the three mobile sensing network strategies used for distributing the data gathered. Finally, the paper sketches some of smart city services which might be provided using the information coming from the mobile IoT devices.This work has been partially funded by Research Project SmartSantander, under FP7-ICT-2009-5 of the 7th Framework Programme of the European Community. The authors would like to acknowledge the collaboration with the rest of partners within the consortium leading to the results presented in this paper.The authors would also like to express their gratitude to the Spanish government for the funding in the following project: “Connectivity as a Service: Access for the Internet of the Future,” COSAIF (TEC2012-38574-C02- 01)

Circular cities: the case of Singapore

Circular Economy (CE), as a new economic paradigm has gained traction in recent years. Cities’ role in driving CE forward has been perceived as being increasingly important to achieve Sustainable Development (SD). For this reason, there is an urgency to understand what a circular city is and how it might be composed. This research explores the ways in which the city-state of Singapore is transitioning to a CE.A systematic literature review on CE and cities was carried out using a bibliometric review and a snowballing technique. This review was performed on academic and on non-academic papers.This research has confirmed the lack of robust circular cities case studies. As Singapore has already begun its journey towards circularity, this article examines its current efforts and offers recommendations in the design and implementation of CE policies that may be valuable not just for Singapore but also for high-density and rapidly expanding cities around the world that require a new development pathway to emulate.This manuscript is the first detailed, independent and comprehensive review of Singapore’s approach to Circular Economy

Impact of COVID-19 on iot adoption in healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT

COVID-19 has disrupted normal life and has enforced a substantial change in the policies, priorities and activities of individuals, organisations and governments. These changes are proving to be a catalyst for technology and innovation. In this paper, we discuss the pandemic's potential impact on the adoption of the Internet of Things (IoT) in various broad sectors namely healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT. Our perspective and forecast of this impact on IoT adoption is based on a thorough research literature review, a careful examination of reports from leading consulting firms and interactions with several industry experts. For each of these sectors, we also provide the details of notable IoT initiatives taken in wake of COVID-19. We also highlight the challenges that need to be addressed and important research directions that will facilitate accelerated IoT adoption.Comment: This is the version accepted at Sensors 202

State-of-art in modelling particulate matter (PM) concentration: a scoping review of aims and methods

Air pollution is the one of the most significant environmental risks to health worldwide. An accurate assessment of population exposure would require a continuous distribution of measuring ground-stations, which is not feasible. Therefore, significant efforts are spent in implementing air-quality models. However, a complex scenario emerges, with the spread of many different solutions, and a consequent struggle in comparison, evaluation and replication, hindering the definition of the state-of-art. Accordingly, aim of this scoping review was to analyze the latest scientific research on air-quality modelling, focusing on particulate matter, identifying the most widespread solutions and trying to compare them. The review was mainly focused, but not limited to, machine learning applications. An initial set of 940 results published in 2022 were returned by search engines, 142 of which resulted significant and were analyzed. Three main modelling scopes were identified: correlation analysis, interpolation and forecast. Most of the studies were relevant to east and southeast Asia. The majority of models were multivariate, including (besides ground stations) meteorological information, satellite data, land use and/or topography, and more. 232 different algorithms were tested across studies (either as single-blocks or within ensemble architectures), of which only 60 were tested more than once. A performance comparison showed stronger evidence towards the use of Random Forest modelling, in particular when included in ensemble architectures. However, it must be noticed that results varied significantly according to the experimental set-up, indicating that no overall best solution can be identified, and a case-specific assessment is necessary

The State of the Art of Information Integration in Space Applications

This paper aims to present a comprehensive survey on information integration (II) in space informatics. With an ever-increasing scale and dynamics of complex space systems, II has become essential in dealing with the complexity, changes, dynamics, and uncertainties of space systems. The applications of space II (SII) require addressing some distinctive functional requirements (FRs) of heterogeneity, networking, communication, security, latency, and resilience; while limited works are available to examine recent advances of SII thoroughly. This survey helps to gain the understanding of the state of the art of SII in sense that (1) technical drivers for SII are discussed and classified; (2) existing works in space system development are analyzed in terms of their contributions to space economy, divisions, activities, and missions; (3) enabling space information technologies are explored at aspects of sensing, communication, networking, data analysis, and system integration; (4) the importance of first-time right (FTR) for implementation of a space system is emphasized, the limitations of digital twin (DT-I) as technological enablers are discussed, and a concept digital-triad (DT-II) is introduced as an information platform to overcome these limitations with a list of fundamental design principles; (5) the research challenges and opportunities are discussed to promote SII and advance space informatics in future

Standards IdC para cidades inteligentes

Mestrado em Engenharia de Computadores e TelemáticaNowadays, the IoT panorama faces a great obstacle in establishing a global ecosystem, due to the emergence of a number of data standards created to fit the needs of di↵erent use cases and/or industries. In the Smart Cities scenario it is now clear that paving the way for the interoperability of di↵erent vertical solutions is an absolute necessity in order to make them truly intelligent. It is in the interest of this dissertation to take a developed implementation of a vertical IoT solution and enable the integration of third-party applications in a transparent way.Hoje em dia, o panorama da Internet das Coisas enfrenta um grande obst´aculo ao tentar estabelecer um ecossistema global devido so surgimento de v´arios standards de dados que se adequam `as necessidades de diferentes use cases e/ou ind´ustrias. No cen´ario das Cidades Inteligentes ´e agora mais claro do que nunca que ´e absolutamente necess´ario tra¸car o caminho para a interoperabilidade de diferentes solu¸c˜oes verticais de modo a tornar as cidades verdadeiramente inteligentes. No ˆambito desta disserta¸c˜ao o objetivo ´e partir de uma implementa¸c˜ao desenvolvida de uma solu¸c˜ao IdC vertical e possibilitar a integra¸c˜ao de aplica¸c˜oes de terceiros de uma forma transparente