IoT-based decision support system for monitoring and mitigating atmospheric pollution in smart cities

Miles, Alexander S.; Zaslavsky, Arkady; Browne, Chris

doi:10.1080/12460125.2018.1468696

Cited by 31 publications

(19 citation statements)

References 11 publications

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“…The proposed system was able to forecast the ozone level with greater accuracy in comparison with other techniques but is limited by the slow speed of the convergence process. The study by Miles et al (2018) proposed a prototype IoT-based Decision Support System (DSS), that combines atmospheric pollution monitoring from multiple heterogeneous data sources with efficient pollution reduction strategies. The DSS used an underlying traffic model as the input to an atmospheric model in order to forecast traffic-related atmospheric pollution levels and simulate how these levels could impact mitigation strategies.…”

Section: Smart Environmentmentioning

confidence: 99%

Smart cities: Advances in research—An information systems perspective

Ismagilova¹,

Hughes

Dwivedi

et al. 2019

International Journal of Information Management

643

275

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Smart cities employ information and communication technologies to improve: the quality of life for its citizens, the local economy, transport, traffic management, environment, and interaction with government. Due to the relevance of smart cities (also referred using other related terms such as Digital City, Information City, Intelligent City, Knowledge-based City, Ubiquitous City, Wired City) to various stakeholders and the benefits and challenges associated with its implementation, the concept of smart cities has attracted significant attention from researchers within multiple fields, including information systems. This study provides a valuable synthesis of the relevant literature by analysing and discussing the key findings from existing research on issues related to smart cities from an Information Systems perspective. The research analysed and discussed in this study focuses on number of aspects of smart cities: smart mobility, smart living, smart environment, smart citizens, smart government, and smart architecture as well as related technologies and concepts. The discussion also focusses on the alignment of smart cities with the UN sustainable development goals. This comprehensive review offers critical insight to the key underlying research themes within smart cities, highlighting the limitations of current developments and potential future directions.

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Section: Smart Environmentmentioning

confidence: 99%

Smart cities: Advances in research—An information systems perspective

Ismagilova¹,

Hughes

Dwivedi

et al. 2019

International Journal of Information Management

643

275

View full text Add to dashboard Cite

show abstract

“…Based on the data from World Health organisation, pollution is considered as the main cause of deaths for under five years old children [45]. Number of studies investigated how to monitor and improve air quality in cities using smart technologies [44][45][46][47][48].…”

Section: Air Qualitymentioning

confidence: 99%

“…This in-formation can be used to propose solutions to mitigation strategies to reduce pollution. Miles et al [46] proposed a decision support system which can monitor air quality, forecast atmospheric pollution, as well as suggest and implement pollution reducing strategies in real time using IoT. This decision support system can help and improve decisions of policy makers and engineers on planning of urban landscapes.…”

Section: Air Qualitymentioning

confidence: 99%

“…The studies focused on energy for smart cities, particularly on renewable and green energy [13][14][15], and energy efficiency [20][21][22]. Also, the reviewed studies paid attention to the environment monitoring [42,43], air quality [44][45][46], and water quality [2,49,50]. For the city environment to be sustainable it is important to monitor the quality of water and air and also use energy resources efficiently.…”

Section: Conclusion and Limitationsmentioning

confidence: 99%

See 1 more Smart Citation

Role of Smart Cities in Creating Sustainable Cities and Communities: A Systematic Literature Review

Ismagiloiva

Hughes

Rana

et al. 2019

IFIP Advances in Information and Communication Technology

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Seventeen United Nations Development Goals (UN SDG) focus on peace and prosperity for people and the planet. Smart cities can help in achieving UN SDG. This research carries out a comprehensive analysis of the role of smart cities on creating sustainable cities and communities, which is one of 17 UN sustainable goals. Current research focuses on number of aspect of sustainable environment such as renewable and green energy, energy efficiency, environmental monitoring, air quality, and water quality. This study provides a valuable synthesis of the relevant literature on smart cities by analysing and discussing the key findings from existing research on issues of smart cities in creating sustainable cities and communities. The findings of this study can provide an informative framework for research on smart cities for academics and practitioners.

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“…A decision support system (DSS) that can check food worth, forecast temperature and humidity propose and execute improvement strategies in close to real-time and then re-examine situations to make a decision if additional action is needed such as incremental monitoring and employing enhanced strategies [19]. IoT is used in numerous real-time applications using Machine-to-Machine transmission [20], health support systems [21], Smart home based applications [22] and Industry automation system [23]. During the last decades, customer belief in the food manufacturing was very much damaged because of preserving the nutritional attribute of products during transportation from producer to customer [24].…”

Section: Literature Surveymentioning

confidence: 99%

An Efficient Bayes Classifiers Algorithm for Traceability of Food Supply Chain Management using Internet of Things

Balamurugan¹,

Ayyasamy²,

Joseph³

2019

IJEAT

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The conventional Food Supply Chain Management (FSCM) faces a variety of provocation such as ambiguity, security, cost, complication and quality concerns. To resolve these issues, supply chain must be precise. A challenging assignment in today’s food industry is distributing the high quality of foods throughout the supply chain management. In this paper, proposes an efficient Bayes Classifiers Algorithm which integrated with FSCM using Internet of Things (IoT) to allow tracking, tracing and managing the entire process of food supply chain such as supplier, exporter and customers. The objective of this paper is to determine the food safety and to optimize chronological data produced to analyze the effective possibility of future assump- tions. It also aims to foods carrying from the manufacturers to the customers with help of IoT technologies to bond the producer to the customer with delivery of high class of food products. IoT based Food Supply Chain Traceability is utilized t o data transaction effectively with indeterminate, uncertain and insufficient information. So the proposed efficient Bayes Classifiers Algorithm will be capable to overcome all provocation of conventional supply chain and afford secure background and food safety for FSCM process using IoT technology.

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IoT-based decision support system for monitoring and mitigating atmospheric pollution in smart cities

Cited by 31 publications

References 11 publications

Smart cities: Advances in research—An information systems perspective

Smart cities: Advances in research—An information systems perspective

Role of Smart Cities in Creating Sustainable Cities and Communities: A Systematic Literature Review

An Efficient Bayes Classifiers Algorithm for Traceability of Food Supply Chain Management using Internet of Things

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