The role of big data in smart city

By Ibrahim Abaker Targio Hashem, Victor Chang, Nor Badrul Anuar, Kayode Sakariyah Adewole, Ibrar Yaqoob, Abdullah Bin Gani, Ejaz Ahmed, Haruna Chiroma. 2016

1,019 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Media Technology, Transportation

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

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In Transportation

Citations in the corpus

A survey of data fusion in smart city applications (2019, methodology): “With the large amounts of data becoming readily available in a smart city, data mining techniques [37], [38] are commonly used in the collected data.”
A Review of Machine Learning and IoT in Smart Transportation (2019, methodology): “So, an IoT infrastructure usually implements methods to handle, store, and analyze big data [3].”
Smart cities with big data: Reference models, challenges, and considerations (2018, methodology): “, 2017), enhancing geographic information delivery methods (e.g., Aina, 2017; Hashem et al., 2016), and designing attractive yet feasible smart city services (e.”
A novel big data analytics framework for smart cities (2019, background): “The process of analyzing big data to extract useful information and insights is usually referred to as big data analytics or big data value chain [6], which is considered as one of the key enabling technologies of smart cities [7, 8, 9].”
Measuring social media influencer index- insights from facebook, Twitter and Instagram (2019, background): “…aspects of business sectors which includes decision making process (Choi, 2017), knowledge-based decision support systems (Chen et al., 2012; Ibrahim et al., 2016), brand promotions (Kaplan & Haenlein, 2010; Lipsman et al., 2012), brand marketing (Aggrawal et al., 2017a; Kapoor et al.,…”
Mobile Edge Computing: Opportunities, solutions, and challenges (2017, background): “The problem becomes clearer and more intense as several smart devices and objects are getting involved in human’s life as in case of smart cities [8] or Internet of Things [9].”
Future Trends and Current State of Smart City Concepts: A Survey (2020, background): “Therefore, such enormous amounts of data or, namely, big data, which are rendered by IoT, are the main kernels of city facilities [101].”
The role of big data analytics in Internet of Things (2017, background): “In a smart grid environment, large amounts of data are collected from various sources, such as the power utilization habits of users, phasor measurement data for situational awareness, and energy consumption data measured by widespread smart meters, to name a few [55].”
The dual effects of the Internet of Things (IoT): A systematic review of the benefits and risks of IoT adoption by organizations (2020, background): “According to Hashem et al. (2016), effective analysis and utilization of big data are important success factors in many business and service domains.”
Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare (2018, background): “Beneﬁts of scalability to a smart city level can include improvement in efﬁciency, saving quality time for waiting and building direct relationship and trust between medical staff and patients [127].”
Edge Computing with Artificial Intelligence: A Machine Learning Perspective (2022, background): “AI is a good choice for smart city to improve the accuracy and eicacy of data analysis because of its proiciency in dealing with massive data [130].”