Making IoT Data Ready for Smart City Applications

Lee, Ryong; Jang, Rae-Young; Park, Minwoo; Ga-ye, Jeon; Jae-kwang, Kim; Lee, Sanghwan

doi:10.1109/bigcomp48618.2020.00020

Cited by 23 publications

(11 citation statements)

References 1 publication

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“…Thus the device at the beginning will start by uploading only at locations where the price is P 1 = 0. Whenever AoI reaches τ (2) , i.e., x ≥ τ (2) , the device switches to a second phase wherein an upload occurs if prices are less than or equal to P 2 , that is either in locations with corresponding prices P 1 or P 2 . Similarly, once a new threshold is reached, say τ (j) , the device will upload the collected data at locations with a price less than or equal to P j .…”

Section: Traffic Offloadingmentioning

confidence: 99%

“…After displacement, the device enters a new location j with a tagged price of P 2 . By this time, age is higher than threshold τ (2) , allowing the device to upload information with either P 1 or P 2 . Now, the device can upload the information as the price is acceptable.…”

Section: Traffic Offloadingmentioning

confidence: 99%

“…The intuition is that the location with a higher cost should be configured with higher price according to the previous analysis. The results displayed in this section are configured with three prices (P 1 , P 2 , P 3 ), τ (1) = 0, two effective threshold values (τ (2) , τ (3) ) and M = 10. Locations that belong to range 1, 2 and 3 are assigned P 1 = 0, P 2 and P 3 , respectively.…”

Section: B Aging Control Analysismentioning

confidence: 99%

“…Data collection at scale represents the key signature of future IoT applications, posing significant challenges in the integration of emerging 5G networks and IoT technologies as identified in early studies [1]. In fact, pervasive object readings will play a decisive role in the context of smart cities for both process monitoring and management [2]. Using IoT, a whole new set of applications will be able to feed local information generated by both objects and mobile devices into their databases.…”

Section: Introductionmentioning

confidence: 99%

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Joint Traffic Offloading and Aging Control in 5G IoT Networks

Modina¹,

El-Azouzi²,

Pellegrini³

et al. 2022

Preprint

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The widespread adoption of 5G cellular technology will evolve as one of the major drivers for the growth of IoT-based applications. In this paper, we consider a Service Provider (SP) that launches a smart city service based on IoT data readings: in order to serve IoT data collected across different locations, the SP dynamically negotiates and rescales bandwidth and service functions. 5G network slicing functions are key to lease appropriate amount of resources over heterogeneous access technologies and different site types. Also, different infrastructure providers will charge slicing service depending on specific access technology supported across sites and IoT data collection patterns.We introduce a pricing mechanism based on Age of Information (AoI) to reduce the cost of SPs. It provides incentives for devices to smooth traffic by shifting part of the traffic load from highly congested and more expensive locations to lesser charged ones, while meeting QoS requirements of the IoT service. The proposed optimal pricing scheme comprises a two-stage decision process, where the SP determines the pricing of each location and devices schedule uploads of collected data based on the optimal uploading policy. Simulations show that the SP attains consistent cost reductions tuning the trade-off between slicing costs and the AoI of uploaded IoT data.

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Section: Traffic Offloadingmentioning

confidence: 99%

Section: Traffic Offloadingmentioning

confidence: 99%

Section: B Aging Control Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Joint Traffic Offloading and Aging Control in 5G IoT Networks

Modina¹,

El-Azouzi²,

Pellegrini³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…e model used public blockchain and smart contracts to manage access control for users that are external and with a local off-blockchain storage to manage access control for internal users of the organization. Lee et al [4] suggested the function of service platform and whole architecture with details of the uses of platform with the help of analyzing road surface as a case study. e study analyzed the data services which can be associated with the applications of smart city and recommended generic directions of the services of urban data for services of advanced city.…”

Section: Introductionmentioning

confidence: 99%

Analyzing and Evaluating Smart Cities for IoT Based on Use Cases Using the Analytic Network Process

Huang

Nazir

2021

Mobile Information Systems

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With the passage of time, the world population is growing. Proper utilization of resources and other devices is tremendously playing an important role to easily examine, manage, and control the resources of the Internet of Things (IoT) in the smart city. Research in the field of IoT has revolutionized the services mostly in smart cities. In the smart city, the applications of IoT are utilized without human involvement. Diverse IoT devices are connected with each other and communicate for different tasks. With the existence of a huge number of IoT devices in the forthcoming years, the chances of privacy breach and information leakage are increasing. Billions of devices connected on IoT producing huge volume of data bound to cloud for processing, management, and storage. Sending of whole data to the cloud might create risk of security and privacy. Various needs of the smart city should be considered for both urgent and effective solutions to support requirements of the growing population. On the other side of rising technology, the IoT evolution has massively produced diverse research directions for the smart city. Keeping in view the use cases of the smart city, the proposed study presents the analytic network process (ANP) for evaluating smart cities. The approach of ANP works well in the situation of complexity, and vagueness exists among the available alternatives. The experimental results of the planned approach show that the approach is effective for evaluating the smart cities for IoT based on the use cases.

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Internet of Things data management: A systematic literature review, vision, and future trends

Shirvanian

Shams

Rahmani

2022

Int J Communication

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The Internet of Things (IoT) is expected to connect devices with unique identifiers over a network to create an equilibrium system with high speeds and volumes of data while presenting an interoperability challenge. The IoT data management system is indispensable for attaining effective and efficient performance because IoT sensors generate and collect large amounts of data used to express large data sets. IoT data management has been analyzed from various perspectives in numerous studies. In this study, a Systematic Literature Review (SLR) method was used to investigate the various topics and key areas that have recently emerged in IoT data management. This study aims to classify and evaluate studies published between 2015 and 2021 in IoT data management. Therefore, the classification of studies includes five categories, data processing, data smartness application, data collection, data security, and data storage. Then, studies in each field are compared based on the proposed classification. Each study investigates novel findings, simulation/implementation, data set, application domain, experimental results, advantages, and disadvantages. In addition, the criteria for evaluating selected articles for each domain of IoT data management are examined. Big data accounts for the highest percentage of data processing fields in IoT data management, at 34%. In addition, fast data processing, distributed data, artificial intelligence data with 22%, and data uncertainty analysis account for 11% of the data processing field. Finally, studies highlight the challenges of IoT data management and its future directions.

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Making IoT Data Ready for Smart City Applications

Cited by 23 publications

References 1 publication

Joint Traffic Offloading and Aging Control in 5G IoT Networks

Joint Traffic Offloading and Aging Control in 5G IoT Networks

Analyzing and Evaluating Smart Cities for IoT Based on Use Cases Using the Analytic Network Process

Internet of Things data management: A systematic literature review, vision, and future trends

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