Fog computing-assisted path planning for smart shopping

Aliyu, Farouq; Abdeen, M.; Sheltami, Tarek R.; Alfraidi, Tareq; Ahmed, Mohamed H.

doi:10.1007/s11042-023-14926-9

Cited by 6 publications

(5 citation statements)

References 34 publications

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“…The rapid advancement of technology has triggered significant transformations in the organisation of our societies. One of the most prominent manifestations of this change can be found in the concept of "smart cities", which is discussed below, according to the contributions of different authors [15].…”

Section: Definitions Of a Smart Citymentioning

confidence: 99%

Emerging Perspectives on the Application of Recommender Systems in Smart Cities

Andrade-Ruiz,

Carrasco,

Porcel

et al. 2024

Electronics

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Smart cities represent the convergence of information and communication technologies (ICT) with urban management to improve the quality of life of city dwellers. In this context, recommender systems, tools that offer personalised suggestions to city dwellers, have emerged as key contributors to this convergence. Their successful application in various areas of city life and their ability to process massive amounts of data generated in urban environments has expedited their status as a crucial technology in the evolution of city planning. Our methodology included reviewing the Web of Science database, resulting in 130 articles that, filtered for relevancy, were reduced to 86. The first stage consisted of carrying out a bibliometric analysis with the objective of analysing structural aspects with the SciMAT tool. Secondly, a systematic literature review was undertaken using the PRISMA 2020 statement. The results illustrated the different processes by which recommendations are filtered in areas such as tourism, health, mobility, and transport. This research is seen as a significant breakthrough that can drive the evolution and efficiency of smart cities, establishing a solid framework for future research in this dynamic field.

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Section: Definitions Of a Smart Citymentioning

confidence: 99%

Emerging Perspectives on the Application of Recommender Systems in Smart Cities

Andrade-Ruiz,

Carrasco,

Porcel

et al. 2024

Electronics

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“…Within the developing "smart world" [8], our discussion addresses what has been recently termed "smart consumers" (closely related to "digital consumers"), i.e., consumers who use smart technologies-e.g., [26,27], which provide them with data used to make "intelligent decisions" [28]. The combination of these smart technologies determines the extent of consumers' "smartness" [29].…”

Section: Study Objectivesmentioning

confidence: 99%

“…RQ 6 : The quantities of data and information produced by RS consumers are very large, thus raising the issue of information overload. The RS only partially treats this problem by attempting to automatically recommend items that activate consumer interest [26]. While the major aim of any RS is to reduce complexity by processing the huge amount of data and selecting the information most pertinent to consumer's specification, information overload remains [75].…”

Section: Future Trends and Challengesmentioning

confidence: 99%

Fog Computing-Based Smart Consumer Recommender Systems

Hornik,

Ofir,

Rachamim

et al. 2024

JTAER

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The latest effort in delivering computing resources as a service to managers and consumers represents a shift away from computing as a product that is purchased, to computing as a service that is delivered to users over the internet from large-scale data centers. However, with the advent of the cloud-based IoT and artificial intelligence (AI), which are advancing customer experience automations in many application areas, such as recommender systems (RS), a need has arisen for various modifications to support the IoT devices that are at the center of the automation world, including recent language models like ChatGPT and Bard and technologies like nanotechnology. This paper introduces the marketing community to a recent computing development: IoT-driven fog computing (FC). Although numerous research studies have been published on FC “smart” applications, none hitherto have been conducted on fog-based smart marketing domains such as recommender systems. FC is considered a novel computational system, which can mitigate latency and improve bandwidth utilization for autonomous consumer behavior applications requiring real-time data-driven decision making. This paper provides a conceptual framework for studying the effects of fog computing on consumer behavior, with the goal of stimulating future research by using, as an example, the intersection of FC and RS. Indeed, our conceptualization of the “fog-based recommender systems” opens many novel and challenging avenues for academic research, some of which are highlighted in the later part of this paper.

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“…In this case, the IOC and the data belong to the business owner. Shopping malls use IOCs to gain insight into customers' preferences, control crowd distribution, improve customer experience, and increase sales [80]. IBM proposed an Entertainment Venue Operations Center (EVOC) that targets the entertainment industries, like a sports complex or stadium, cruise ship, theater, or concert hall [17].…”

Section: Private Iocsmentioning

confidence: 99%

“…Increasing the computation power of the IOC can reduce the earlier factor, but it increases its energy consumption. It can reduce its workload with Fog Computing to filter or process data at the network's edge [80,97]. The latter factor depends on the officials' latency to make a decision.…”

Section: Security Issuesmentioning

confidence: 99%

Integrated Operation Centers in Smart Cities: A Humanitarian Engineering Perspective

Almadani

Aliyu

2023

Sustainability

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The United Nations predicted that 68% of the world’s population will live in urban areas by 2050. Currently, the resources in urban areas are barely enough to cater to the inhabitants’ needs. Scientists believe that automation is the solution. Hence, they believe that Smart Cities could offer a sustainable solution for the increasing rural-to-urban migration because they improve the quality of service by efficiently managing the limited resources the citizens share. However, community laws stipulate when and who governs the cities. These officials are responsible for decision making, which limits the quality of automation and smartness of the city. Integrated Operation Centers (IOCs) help to minimize this limitation. They gather information, process it, and visualize it for the managers. Thus, IOCs enable them to make informed and quick decisions on critical issues. This paper processed 64 conferences and journals on IOCs using the PRISMA method. The systematic literature review investigates the applications of IOCs, and we present a taxonomy for them. Also, we looked at how they impact humanity and environmental sustainability. We found that IOCs help to coordinate automation, disaster response, and security. They also help to conserve natural resources. Finally, we uncover some challenges of implementing IOCs and possible research directions.

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Fog computing-assisted path planning for smart shopping

Cited by 6 publications

References 34 publications

Emerging Perspectives on the Application of Recommender Systems in Smart Cities

Emerging Perspectives on the Application of Recommender Systems in Smart Cities

Fog Computing-Based Smart Consumer Recommender Systems

Integrated Operation Centers in Smart Cities: A Humanitarian Engineering Perspective

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