Towards a Smart City based on Cloud of Things

International audienceSmart City represents one of the most promising and prominent Internet of Things (IoT) applications. In the last few years, indeed, smart city concept has played an important role in academic and industry fields, with the development and deployment of various middleware platforms. However, this expansion has followed distinct approaches creating, therefore, a fragmented scenario, in which different IoT ecosystems are not able to communicate between them. To fill this gap, there is a need to re-visit the smart city IoT semantic and offer a global common approach. To this purpose, this paper browses the semantic annotation of the sensors in the cloud, and innovative services can be implemented and considered by bridging Clouds and Internet of Things. Things-like semantic will be considered to perform the aggregation of heterogeneous resources by defining the Clouds of Things paradigm. We survey the smart city vision, providing information on the main requirements and highlighting the benefits of integrating different IoT ecosystems within the cloud under this new CoT vision. This paper also discusses relevant challenges in this research area

Towards a smart city based on cloud of things, a survey on the smart city vision and paradigms

International audienceSmart City represents one of the most promising, prominent and challenging Internet of Things (IoT) applications. In the last few years, indeed, the smart city concept has played an important role in academic and industry fields, with the development and deployment of various middleware platforms and IoT-based infrastructures. However, this expansion has followed distinct approaches creating, therefore, a fragmented scenario, in which different IoT ecosystems are not able to communicate between them. To fill this gap, there is a need to re-visit the smart city IoT semantic and offer a global common approach. To this purpose, this paper browses the semantic annotation of the sensors in the cloud, and innovative services can be implemented and considered by bridging Cloud and Internet of Things. Things-like semantic will be considered to perform the aggregation of heterogeneous resources by defining the Cloud of Things (CoT) paradigm. We survey the smart city vision, providing information on the main requirements and highlighting the benefits of integrating different IoT ecosystems within the cloud under this new CoT vision. This paper also discusses relevant challenges in this research area

PERKEMBANGAN SMART CITY TANGERANG SELATAN TAHUN 2016-2021

Uneven development causes the level of urbanization to be higher, which causes urban problems in both physical and non-physical forms. Based on this, the City of South Tangerang is increasing the development of the city into a Smart City. This study examines the stages of development of South Tangerang City into a smart city. This research is a qualitative descriptive study, with data collection techniques using interview techniques, in-depth observation, and documentation studies. Research theory using city management, and smart city. The results of this study are the stages of South Tangerang City towards Smart City in 2016-2021 is a development that can be said to be short, consisting of three stages. The first stage 2016-2017 is the preparation stage in the form of internal strengthening. The second stage 2017-2018 is the planning stage in the form of policy formulation and implementation guidelines for Smart City. And the third stage (2018-2021) which is the stage of implementing the plan in the form of achieving targets and indicators that are continuously monitored and evaluated. Based on the results obtained, it can be concluded that the stages planned by the South Tangerang government in building a smart city can fulfill the smart city vision

Emergent situations for smart cities: A survey

A smart city is a community that uses communication and information technology to improve sustainability, livability, and feasibility. As any community, there are always unexpected emergencies, which must be treated to preserve the regular order. However, a smart system is needed to be able to respond effectively to these emergent situations. The contribution made in this survey is twofold. Firstly, it provides a comprehensive exhaustive and categorized overview of the existing surveys for smart cities.  The categorization is based on several criteria such as structures, benefits, advantages, applications, challenges, issues, and future directions. Secondly, it aims to analyze several studies with respect to emergent situations and management to smart cities. The analysis is based on several factors such as the challenges and issues discussed, the solutions proposed, and opportunities for future research. The challenges include security, privacy, reliability, performance, scalability, heterogeneity, scheduling, resource management, and latency. Few studies have investigated the emergent situations of smart cities and despite the importance of latency factor for smart city applications, it is rarely discussed

CityMii - An integration and interoperable middleware to manage a Smart City

Modern cities are supported by multiple heterogeneous IT systems deployed and managed by distinct agents. In general, those systems use old, dependent and non-standardized technologies, which make them legacy and incompatible systems. As smart cities are moving toward a fully centralized management approach, the lack of integration among systems raises several problems. Since they are independent, it is not easy to correlate information from different systems and put it together to work in order to achieve application goals. The collaboration among different systems enables an agent to offer new functionalities (services or just information about the city) that cannot be provided by any of these systems working as individual entities. The goal of this paper is to propose an integration middleware to support the management of Smart Cities in a dynamic, transparent and scalable way. The proposed middleware intends to support interoperability among different systems operating in a city.info:eu-repo/semantics/publishedVersio

Towards Refactoring in Cloud-Centric Internet of Things for Smart Cities

Smart city is an urban development vision to integrate multiple Information and Communication Technology (ICT) and Internet of Things (IoT) solutions in a secure fashion to manage a city’s assets. IoT devices are heterogeneous and collect large amount of data which need to be collected, processed, stored and shared among various devices, services and enterprise entities. Cloud technology has the potential to improve the performance, reliability and elasticity of software applications that drive the smart city vision. Due to the rapid increase in the number of devices, there is a critical need for the architecture of the cloud deployment to change constantly to adapt to the way these heterogeneous devices interact with the cloud services and on premise services are needed to migrate to cloud for the purpose of increasing performance and elasticity. Hence refactoring techniques could help tackling these issues as refactoring is a method of changing the internal design of the system while preserving the external behavior. In this paper we discuss refactoring and Clou-centric IoT in the context of Smart city, problems related to the inter-connectivity of these paradigms

Dynamic Resource Discovery and Management for Edge Computing Based on SPF for HADR Operations

The Smart City concept tries to inherit the advantages of Internet-of-Things (IoT) into its realm to function alongside the existing legacy systems. One of the most promising aspects of IoT is Edge Computing, which tries to move the computing, traditionally done via a centralized infrastructure like the cloud to the edge of the network. This allows remote deployment of IoT assets closer to the source and application area of information enabling faster response times of action. Smart Cities of future envision using Edge Computing to their advantage for remote and distributed computing. Sieve, Process and Forward (SPF) is an Edge Computing solution for dynamic IoT applications for Smart City scenarios. The military is looking forward to use, as well as develop the SPF platform for its Edge Computing requirements. But currently, the SPF platform does not have the mechanism for remote discovery of edge resources and their management to leverage its potential completely. This paper tries to propose a resource discovery and management architecture and methodology for SPF to support future Human Assistance and Disaster Recovery (HADR) operations in Smart City environments with the vision of enabling interoperability between civilian and military platforms

Intra Smart Grid Management Frameworks for Control and Energy Saving in Buildings

In the context of Smart Grids and Internet of Things (IoT) Systems, distributed monitoring and actuation through Wireless Sensor and Actuator Networks (WSANs) is fundamental to control the energy usage in buildings. Moreover, the realization of algorithms for the optimization of the energy consumption is of paramount importance. This paper presents a loosely coupled integration between a flexible management framework for WSANs, namely the IGMF (Intra-Grid Management Framework), and a Dynamic Energy Scheduler with local control on sensors and actuators, namely the ITESS (IoTLAB Energy Scheduling System). The integrated system allows the users to manage whole buildings applying Dynamic Energy Schedulers for different environments