2021
DOI: 10.1007/s11276-021-02756-2
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Smart carbon monitoring platform under IoT-Cloud architecture for small cities in B5G

Abstract: With the rapid development of the Internet of Things (IoT) in the 5G age, the construction of smart cities around the world consequents on the exploration of carbon reduction path based on IoT technology is an important direction for global low carbon city research. Carbon dioxide emissions in small cities are usually higher than that in large and medium cities. However, due to the huge difference in data environment between small cities and Medium-large sized cities, the weak hardware foundation of the IoT, a… Show more

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Cited by 7 publications
(11 citation statements)
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“…This could include a web-based interface or a mobile app. Add Features: Add features such as alerts, notifications, and recommendations to help users reduce their CFs [12]. Test and Refine: Test the platform with real users and refine it based on feedback.…”
Section: Literature Reviewmentioning
confidence: 99%
“…This could include a web-based interface or a mobile app. Add Features: Add features such as alerts, notifications, and recommendations to help users reduce their CFs [12]. Test and Refine: Test the platform with real users and refine it based on feedback.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Low Cost Sensors (LCS) over time have experienced tremendous developments and application in greenhouse gas accounting and reporting at lower levels (city blocks) [31]. However, the use of low cost sensor in Ambient Air Quality monitoring is limited to Particulate matter only in Ghana evidenced in the Ghana Urban Air Quality Project (GHAir) [10,25].…”
Section: Introductionmentioning
confidence: 99%
“…The authors of [31] assessed in their research the adaptation of the IPCC model for small cities in carbon monitoring. In their research, the use of the IPCC model was asserted as ineffective in estimating carbon emissions on small cities level due to lack of timely real time monitoring data.…”
Section: Introductionmentioning
confidence: 99%
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“…[108], [23], [63], [65], [25], [112], [67], [26], [68], [71], [72], [75], [34], [35], [78], [5], [40], [84], [43], [93], [96], [47], [48], [50] Agriculture, Forestry, and Other Land Use (AFOLU) 8 [61], [20], [31], [33], [114], [82], [44], [98] Waste 4 [76], [36], [86], [99] Others 2 [42], [51] This article has been accepted for publication in IEEE Access. This is the author's version which has not been fully edited and content may change prior to final publication.…”
mentioning
confidence: 99%