Sensor and internet of things based integrated inundation mitigation for smart city

Flooding is a natural phenomenon that often occurs in tropical countries. Drainage design is one of the efforts to prevent floods, however, when the rainfall is high, there are still several inundation points that occur. This requires comprehensive handling to reduce the impact of these inundations, to get an adaptive solution, the use of internet of things based (IoT) tools is one of the alternatives proposed. This study proposes an IoT-based flood inundation monitoring system, which includes a water level reader, a web-based inundation monitoring system, a flood inundation area and depth reporting system as evaluation materials for the government city. The sensor module that we propose is a series of sensors in a hollow cylinder design to reduce water ripples. The server application is displayed in the form of an interactive area mapping which is divided into 4 layers for 4 different analyzes so that central officers can quickly coordinate with field officers to carry out mitigation actions in the affected area. The module requires a low cost and easy installation process compared to a liquid sensor, besides that the display in the form of a web makes it easier for officers to access monitoring applications anywhere compared to geographic information system based (GIS) applications. This research has been carried out and tested in one of the major cities in Indonesia

IoT analytics and agile optimization for solving dynamic team orienteering problems with mandatory visits

Transport activities and citizen mobility have a deep impact on enlarged smart cities. By analyzing Big Data streams generated through Internet of Things (IoT) devices, this paper aims to show the efficiency of using IoT analytics, as an agile optimization input for solving real-time problems in smart cities. IoT analytics has become the main core of large-scale Internet applications, however, its utilization in optimization approaches for real-time configuration and dynamic conditions of a smart city has been less discussed. The challenging research topic is how to reach real-time IoT analytics for use in optimization approaches. In this paper, we consider integrating IoT analytics into agile optimization problems. A realistic waste collection problem is modeled as a dynamic team orienteering problem with mandatory visits. Open data repositories from smart cities are used for extracting the IoT analytics to achieve maximum advantage under the city environment condition. Our developed methodology allows us to process real-time information gathered from IoT systems in order to optimize the vehicle routing decision under dynamic changes of the traffic environments. A series of computational experiments is provided in order to illustrate our approach and discuss its effectiveness. In these experiments, a traditional static approach is compared against a dynamic one. In the former, the solution is calculated only once at the beginning, while in the latter, the solution is re-calculated periodically as new data are obtained. The results of the experiments clearly show that our proposed dynamic approach outperforms the static one in terms of rewardsThis project has received the support of the Ajuntament of Barcelona and the Fundació “la Caixa” under the framework of the Barcelona Science Plan 2020-2023 (grant 21S09355-001)Peer ReviewedPostprint (published version

State sovereignty and capitalism's relationship in the digital age. A critical analysis of platform capitalism, collaborative governance, and big data.

openThe aim of the research is to analyse the relationship between state sovereignty and market capitalism starting from the ‘80s in the western countries, after the advent of the new Information and Communication Technologies (ICTs). In order to do so, the thesis will display a schematic critique of the new forms of platform capitalism, platform urbanism, and big data analysis. The chapters will follow the three power relations between state, market, and citizens, assessing the various problems concerning the use of big data, such as security issues, exploitation, extraction of value, and democratic accountability. Apart from an organic critique, the following research’s main thesis is that the collaborative governance is a new conjunction ring between capitalism and state power, that brought into existence a new market of public service delivery and a sell-out of state political legitimacy. In the first chapter I will outline the historical framework that brought the diffusion of the ICTs, marking out the economical and political changes following the ‘80s. The second chapter will analyse the power relation between State and citizens. Following the two cases of Cambridge Analytica and Edward Snowden, I will discuss the evolution of state security and the riskiness related to big data for the democratic accountability. The third chapter will discuss the platform urbanism and the critiques concerning the Smart cities. With a critical perspective about collaborative governance, I will assert that in the last decades a new market based on the public service delivery has expanded, creating accountability and legitimacy issues for the western democracies. In the fourth and last chapter I will examine the power relation between citizens and the market, discussing the platform capitalism, the gig economy and the new forms of extraction of value related to the use of big data.The aim of the research is to analyse the relationship between state sovereignty and market capitalism starting from the ‘80s in the western countries, after the advent of the new Information and Communication Technologies (ICTs). In order to do so, the thesis will display a schematic critique of the new forms of platform capitalism, platform urbanism, and big data analysis. The chapters will follow the three power relations between state, market, and citizens, assessing the various problems concerning the use of big data, such as security issues, exploitation, extraction of value, and democratic accountability. Apart from an organic critique, the following research’s main thesis is that the collaborative governance is a new conjunction ring between capitalism and state power, that brought into existence a new market of public service delivery and a sell-out of state political legitimacy. In the first chapter I will outline the historical framework that brought the diffusion of the ICTs, marking out the economical and political changes following the ‘80s. The second chapter will analyse the power relation between State and citizens. Following the two cases of Cambridge Analytica and Edward Snowden, I will discuss the evolution of state security and the riskiness related to big data for the democratic accountability. The third chapter will discuss the platform urbanism and the critiques concerning the Smart cities. With a critical perspective about collaborative governance, I will assert that in the last decades a new market based on the public service delivery has expanded, creating accountability and legitimacy issues for the western democracies. In the fourth and last chapter I will examine the power relation between citizens and the market, discussing the platform capitalism, the gig economy and the new forms of extraction of value related to the use of big data

Edge Computing for Internet of Things

The Internet-of-Things is becoming an established technology, with devices being deployed in homes, workplaces, and public areas at an increasingly rapid rate. IoT devices are the core technology of smart-homes, smart-cities, intelligent transport systems, and promise to optimise travel, reduce energy usage and improve quality of life. With the IoT prevalence, the problem of how to manage the vast volumes of data, wide variety and type of data generated, and erratic generation patterns is becoming increasingly clear and challenging. This Special Issue focuses on solving this problem through the use of edge computing. Edge computing offers a solution to managing IoT data through the processing of IoT data close to the location where the data is being generated. Edge computing allows computation to be performed locally, thus reducing the volume of data that needs to be transmitted to remote data centres and Cloud storage. It also allows decisions to be made locally without having to wait for Cloud servers to respond