IoT-Based Big Data

Rathore, M. Mazhar; Paul, Anand; Ahmad, Awais; Jeon, Gwanggil

doi:10.4018/ijswis.2017010103

Cited by 95 publications

(15 citation statements)

References 20 publications

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“…Today, smart houses and smart cities are equipped with various types of wireless sensor networks (WSNs). (7,8) The automatic devices in smart buildings are connected by a network system so that they can perform a high-efficiency service to ensure living safety while providing a healthy, comfortable, convenient, and humanized living environment.…”

Section: Smart Buildingsmentioning

confidence: 99%

Establishment of Smart Living Environment Control System

Hsu¹,

Chen²,

Kuo³

et al. 2020

Sensors and Materials

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The development of technologies such as the Internet of Things (IoT) and cloud computing has greatly improved the living environment. The Building Research Institute of the Ministry of the Interior of Taiwan also utilizes smart building data to improve the intelligence and humanity of buildings and meet the needs of modern people in the smart-life era. The greenhouse effect, extreme weather, and smog make people more susceptible to weather conditions. To satisfy the health/comfort specifications required for buildings in Taiwan to be awarded smart building marks, technologies such as IoT, AI, and big data are imported to meet people's needs for a comfortable indoor living space. A temperature and humidity sensor, air quality sensor, and gas sensor are used to obtain the indoor physical environment index. An environmental control system for a smart household is established through Arduino in this study to provide a low-cost and highly smart environmental monitoring and sensing system. A micro-algorithm mechanism is used to start adjustable devices, and mobile phone interface apps are utilized to convey the environmental conditions in real time and regulate the operation of household appliances so as to improve the comfort of the indoor space and provide a comfortable and protective environment for work and living.

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Section: Smart Buildingsmentioning

confidence: 99%

Establishment of Smart Living Environment Control System

Hsu¹,

Chen²,

Kuo³

et al. 2020

Sensors and Materials

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“…Indeed, a number of alternative solutions based on advanced Information and Communication Technology (ICT) have materialized in recent years and are rapidly evolving, providing the raw material for how smart cities can enhance their performance with respect to sustainability in the face of the expanding urbanization (Bibri 2019b). In this respect, the IoT and big data technologies are seen as a key driver behind the emergence of smart cities (e.g., Ahmed et al 2017;Batty et al 2012;Hashem et al 2016;Rathore et al 2016Rathore et al , 2018 and sustainable smart cities (Bibri 2019a(Bibri , 2019c(Bibri , 2020a. It is estimated that 50 billion devices will be connected to the Internet by 2020 (Perera et al 2014).…”

Section: Introductionmentioning

confidence: 99%

The emerging data–driven Smart City and its innovative applied solutions for sustainability: the cases of London and Barcelona

2020

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The big data revolution is heralding an era where instrumentation, datafication, and computation are increasingly pervading the very fabric of cities. Big data technologies have become essential to the functioning of cities. Consequently, urban processes and practices are becoming highly responsive to a form of data-driven urbanism that is the key mode of production for smart cities. Such form is increasingly being directed towards tackling the challenges of sustainability in the light of the escalating urbanization trend. This paper investigates how the emerging data-driven smart city is being practiced and justified in terms of the development and implementation of its innovative applied solutions for sustainability. To illuminate this new urban phenomenon, a descriptive case study is adopted as a qualitative research methodology to examine and compare London and Barcelona as the leading data-driven smart cities in Europe. This study shows that these cities have a high level of the development of applied data-driven technologies, but they slightly differ in the level of the implementation of such technologies in different city systems and domains with respect to sustainability areas. They also moderately differ in the degree of their readiness as to the availability and development level of the competences and infrastructure needed to generate, transmit, process, and analyze large masses of data to extract useful knowledge for enhanced decision making and deep insights pertaining to urban operational functioning, management, and planning in relation to sustainability. London takes the lead as regards the ICT infrastructure and data sources, whereas Barcelona has the best practices in the dataoriented competences, notably horizontal information platforms, operations centers, dashboards, training programs and educational institutes, innovation labs, research centers, and strategic planning offices. This research enhances the scholarly community's current understanding of the new phenomenon of the data-driven city with respect to the untapped synergic potential of the integration of smart urbanism and sustainable urbanism for advancing sustainability in the light of the emerging paradigm of big data computing. No previous work has, to the best of our knowledge, explored and highlighted the link between the data-driven smart solutions and the sustainable development strategies in the context of data-driven

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“…Big data technologies have become essential to the functioning of smart cities (e.g., Batty 2013;Khan et al 2015;Kitchin 2014Kitchin , 2015Kitchin , 2016Kitchin et al 2015;Rathore et al 2016Rathore et al , 2018Townsend 2013), particularly in the endeavor to improve their performance with respect to environmental sustainability (e.g., Al Nuaimi et al 2015;Angelidou et al 2017;Batty et al 2012;Bibri 2019cBibri , 2020aBibri and Krogstie 2020b;Hashem et al 2016;Kumar and Prakash 2016;Nikitin et al 2016;Perera et al 2017). The same applies to sustainable cities (e.g., Bibri 2018aBibri , b, 2019aBibri , b, 2020aBibri and Krogstie 2017b, 2019a, 2019b, 2020aKramers et al 2014;Pasichnyi et al 2019;Shahrokni et al 2014bShahrokni et al , 2015aSun and Du 2017).…”

Section: Introductionmentioning

confidence: 99%

“…In light of the above, advanced ICT, especially the IoT and big data technologies, constitutes a promising response to the challenges of environmental sustainability due to its tremendous, yet untapped, potential for tackling many problems associated with energy consumption and air and noise pollution. However, prior studies tend to deal largely with the IoT and big data technologies in the realm of smart cities (e.g., Ahmed et al 2017;Berkel et al 2018;Ji et al 2014a, b;Kumar and Prakash 2016;Perera et al 2014;Rathore et al 2016Rathore et al , 2018Wan et al 2016;Zanella et al 2014), mostly in relation to economic and social aspects (Ahvenniemi et al 2017), leaving important questions involving the underlying substantive and synergistic effects on environmental sustainability barely explored to date. These issues also apply to sustainable cities, especially eco-cities (e.g., Bibri 2018bBibri , 2019bBibri , 2020aHöjer and Wangel 2015;Kramers et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Environmentally data-driven smart sustainable cities: applied innovative solutions for energy efficiency, pollution reduction, and urban metabolism

2020

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The IoT and big data technologies have become essential to the functioning of both smart cities and sustainable cities, and thus, urban operational functioning and planning are becoming highly responsive to a form of data-driven urbanism. This offers the prospect of building models of smart sustainable cities functioning in real time from routinely sensed data. This in turn allows to monitor, understand, analyze, and plan such cities to improve their energy efficiency and environmental health in real time thanks to new urban intelligence functions as an advanced form of decision support. However, prior studies tend to deal largely with data-driven technologies and solutions in the realm of smart cities, mostly in relation to economic and social aspects, leaving important questions involving the underlying substantive and synergistic effects on environmental sustainability barely explored to date. These issues also apply to sustainable cities, especially eco-cities. Therefore, this paper investigates the potential and role of data-driven smart solutions in improving and advancing environmental sustainability in the context of smart cities as well as sustainable cities, under what can be labeled “environmentally data-driven smart sustainable cities.” To illuminate this emerging urban phenomenon, a descriptive/illustrative case study is adopted as a qualitative research methodology§ to examine and compare Stockholm and Barcelona as the ecologically and technologically leading cities in Europe respectively. The results show that smart grids, smart meters, smart buildings, smart environmental monitoring, and smart urban metabolism are the main data-driven smart solutions applied for improving and advancing environmental sustainability in both eco-cities and smart cities. There is a clear synergy between such solutions in terms of their interaction or cooperation to produce combined effects greater than the sum of their separate effects—with respect to the environment. This involves energy efficiency improvement, environmental pollution reduction, renewable energy adoption, and real-time feedback on energy flows, with high temporal and spatial resolutions. Stockholm takes the lead over Barcelona as regards the best practices for environmental sustainability given its long history of environmental work, strong environmental policy, progressive environmental performance, high environmental standards, and ambitious goals. It also has, like Barcelona, a high level of the implementation of applied data-driven technology solutions in the areas of energy and environment. However, the two cities differ in the nature of such implementation. We conclude that city governments do not have a unified agenda as a form of strategic planning, and data-driven decisions are unique to each city, so are environmental challenges. Big data are the answer, but each city sets its own questions based on what characterize it in terms of visions, policies, strategies, pathways, and priorities.

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IoT-Based Big Data

Cited by 95 publications

References 20 publications

Establishment of Smart Living Environment Control System

Establishment of Smart Living Environment Control System

The emerging data–driven Smart City and its innovative applied solutions for sustainability: the cases of London and Barcelona

Environmentally data-driven smart sustainable cities: applied innovative solutions for energy efficiency, pollution reduction, and urban metabolism

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