Content-Centric IoT-Based Air Pollution Monitoring

Qian, Xinyan; Wang, Xiaonan

doi:10.1007/s11277-021-09284-4

Cited by 2 publications

(1 citation statement)

References 21 publications

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“…The IoT is a global system of "smart devices" which can detect and communicate with the environment and interact with users and other applications. Qian et al found that due to low sensitivity and low accuracy the exiting monitoring system does not work well and it also requires laboratory analysis [218]. The data is highly correlated in the case of air pollution monitoring, where these systems are leads to a lot of obsolete information.…”

Section: Challenges In Smart Environmentmentioning

confidence: 99%

Probabilistic data structures in smart city: Survey, applications, challenges, and research directions

Kumar

Singh

2022

AIS

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With the commencement of new technologies like IoT and the Cloud, the sources of data generation have increased exponentially. The use and processing of this generated data have motivated and given birth to many other domains. The concept of a smart city has also evolved from making use of this data in decision-making in the various aspects of daily life and also improvement in the traditional systems. In smart cities, various technologies work collaboratively; they include devices used for data collection, processing, storing, retrieval, analysis, and decision making. Big data storage, retrieval, and analysis play a vital role in smart city applications. Traditional data processing approaches face many challenges when dealing with such voluminous and high-speed generated data, such as semi-structured or unstructured data, data privacy, security, real-time responses, and so on. Probabilistic Data Structures (PDS) has been evolved as a potential solution for many applications in smart cities to complete this tedious task of handling big data with real-time response. PDS has been used in many smart city domains, including healthcare, transportation, the environment, energy, and industry. The goal of this paper is to provide a comprehensive review of PDS and its applications in the domains of smart cities. The prominent domain of the smart city has been explored in detail; origin, current research status, challenges, and existing application of PDS along with research gaps and future directions. The foremost aim of this paper is to provide a detailed survey of PDS in smart cities; for readers and researchers who want to explore this field; along with the research opportunities in the domains.

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Section: Challenges In Smart Environmentmentioning

confidence: 99%

Probabilistic data structures in smart city: Survey, applications, challenges, and research directions

Kumar

Singh

2022

AIS

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The Emerging of Named Data Networking: Architecture, Application, and Technology

et al. 2023

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Named Data Networking (NDN) is developed to accommodate future internet traffic. In recent years, NDN's popularity has grown due to the evolution of the Internet of Things, Artificial Intelligence, Cloud Services, and Blockchain. As part of Future Internet Architecture, the NDN architecture enables dynamic content management, mobility, privacy, and trustworthiness. However, there has yet to be a survey manuscript exploring NDN in the context of these contemporary technologies and applications. Hence this manuscript comprehensively highlights these motivations and the promises. Overall, Blockchain and 5G technology have dominated the trend with 73% of research interest, while transportation applications dominate 64% of the research interest. These significant insights show the emergence of the NDN and the potential to help the revolution of future internet traffic. INDEX TERMSNDN AI, NDN application, NDN blockchain, NDN Cloud Edge, NDN IoT, NDN technology I.

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Content-Centric IoT-Based Air Pollution Monitoring

Cited by 2 publications

References 21 publications

Probabilistic data structures in smart city: Survey, applications, challenges, and research directions

Probabilistic data structures in smart city: Survey, applications, challenges, and research directions

The Emerging of Named Data Networking: Architecture, Application, and Technology

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