Smart Governance of Heterogeneous Internet of Things for Smart Cities

Kazmi, Aqeel; Serrano, Martin M.; Lenis, Angelos

doi:10.1109/icsenst.2018.8603657

Cited by 14 publications

(11 citation statements)

References 7 publications

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“…A particular emphasis is put on sharing personal data between companies and institutions [55,56,57,59,60]. The General Data Protection Regulation (GDPR) is stated as an essential cornerstone [17,55,56,61,62,63]. The necessity of well-defined data rights [55,60,62], well-defined agreements [55] and both visibility and audibility [56] are highlighted in this context.…”

Section: Urban Data Governancementioning

confidence: 99%

“…The General Data Protection Regulation (GDPR) is stated as an essential cornerstone [17,55,56,61,62,63]. The necessity of well-defined data rights [55,60,62], well-defined agreements [55] and both visibility and audibility [56] are highlighted in this context. Finally, data ownership in the urban context is also addressed [17,57,61,62].…”

Section: Urban Data Governancementioning

confidence: 99%

“…The necessity of well-defined data rights [55,60,62], well-defined agreements [55] and both visibility and audibility [56] are highlighted in this context. Finally, data ownership in the urban context is also addressed [17,57,61,62]. Thus, the data sovereignty of data owners goes hand in hand [17,58,60,61].…”

Section: Urban Data Governancementioning

confidence: 99%

“…Data life-cycle issues encompassing data generation, acquisition, processing, storage and archiving can be identified from the literature. In turn, these are linked to broader themes such as data modelling, metadata management, data architectures and data infrastructures [17,55,56,58,61,62,63,69].…”

Section: Urban Data Governancementioning

confidence: 99%

See 3 more Smart Citations

A Literature Review of Data Governance and Its Applicability to Smart Cities

Bozkurt¹,

Rossmann²,

Pervez³

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Data governance have been relevant for companies for a long time. Yet, in the broad discussion on smart cities, research on data governance in particular is scant, even though data governance plays an essential role in an environment with multiple stakeholders, complex IT structures and heterogeneous processes. Indeed, not only can a city benefit from the existing body of knowledge on data governance, but it can also make the appropriate adjustments for its digital transformation. Therefore, this literature review aims to spark research on urban data governance by providing an initial perspective for future studies. It provides a comprehensive overview of data governance and the relevant facets embedded in this strand of research. Furthermore, it provides a fundamental basis for future research on the development of an urban data governance framework.

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Section: Urban Data Governancementioning

confidence: 99%

Section: Urban Data Governancementioning

confidence: 99%

Section: Urban Data Governancementioning

confidence: 99%

Section: Urban Data Governancementioning

confidence: 99%

See 2 more Smart Citations

A Literature Review of Data Governance and Its Applicability to Smart Cities

Bozkurt¹,

Rossmann²,

Pervez³

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

show abstract

“…WSNs are used in many domains, e.g., military, industrial, environmental, residential, and health care [25,26]. Applications include smart homes (systems based on own Wi-Fi platforms [27], or commercial: ESP8266 [28,29]) to smart cities (including smart transportation [30], smart governance [31,32], and smart grid [32])smart utilities(especially water [33,34,35] and energy management [33,35] systems) to smart cars (including software defined networks [36], automotive applications [37], smart parking systems based on ZigBee platforms [38], and car security-based on Arduino Uno board [39]), and precision agriculture (mainly smart farming and irrigation with Wi-Fi platforms, such as ESP8266 [40] and ZigBee platforms, such as eZ430 [41] or 3G/4G/Wi-Fi connections [42] to e-health solutions (mainly patient monitoring and support with Raspberry Pi board [43], or with ZigBee platforms, such as Xbee [44], or with Bluetooth [45]). Depending on their requirements and sensor capabilities, one can define WSNs in terms of size (small to very large scale), sensors’ capacity (homogeneous to heterogeneous), topology, and mobility (static, mobile, and hybrid) [46].…”

Section: Related Workmentioning

confidence: 99%

Design of Wireless Sensors for IoT with Energy Storage and Communication Channel Heterogeneity

Borza

Machedon-Pisu

Hamza-Lup

2019

Sensors

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Autonomous Wireless Sensors (AWSs) are at the core of every Wireless Sensor Network (WSN). Current AWS technology allows the development of many IoT-based applications, ranging from military to bioengineering and from industry to education. The energy optimization of AWSs depends mainly on: Structural, functional, and application specifications. The holistic design methodology addresses all the factors mentioned above. In this sense, we propose an original solution based on a novel architecture that duplicates the transceivers and also the power source using a hybrid storage system. By identifying the consumption needs of the transceivers, an appropriate methodology for sizing and controlling the power flow for the power source is proposed. The paper emphasizes the fusion between information, communication, and energy consumption of the AWS in terms of spectrum information through a set of transceiver testing scenarios, identifying the main factors that influence the sensor node design and their inter-dependencies. Optimization of the system considers all these factors obtaining an energy efficient AWS, paving the way towards autonomous sensors by adding an energy harvesting element to them.

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Access Control Management System for Edge Computing Environment Using Tag‐Based Matching and Cache Injection

Shimahara

Nohara

Nishi

2023

IEEJ Transactions Elec Engng

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With increasing attention to the secondary use of data, privacy protection laws such as the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) have come into force to protect residents from unauthorized exploitation of personal data. Flow management is an effective method to track the distribution of user data in a multi-domain network environment. Transparency in the relationship between data and service providers is essential to track the status of data provision. Vendor and Consumer Relationship Management (VCRM) manages this relationship by regulating relevant flow information. VCRM is expected to collaborate with the edge-computing environment in the management of regional unit flow, wherein all access to personal user data should be restricted in accordance with the stakeholders' requests. Accordingly, this study proposes a packet processing function that collaborates with VCRM to manage the access control of flows passing through a regional network. Moreover, this paper proposes methods to reduce packet processing time on the switch, and requests to the switch controller. Using tag-based matching and cache injection methods, the number of requests to the controller decreased to 33.4% of the original figure. Our proposed method also reduces the total processing time on flow management switches in the network environment in the analysis of encrypted TCP streams such as HTTP over TLS and MQTT over TLS.

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Smart Governance of Heterogeneous Internet of Things for Smart Cities

Cited by 14 publications

References 7 publications

A Literature Review of Data Governance and Its Applicability to Smart Cities

A Literature Review of Data Governance and Its Applicability to Smart Cities

Design of Wireless Sensors for IoT with Energy Storage and Communication Channel Heterogeneity

Access Control Management System for Edge Computing Environment Using Tag‐Based Matching and Cache Injection

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