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. 2023 Mar 25:1-26.
doi: 10.1007/s11042-023-14926-9. Online ahead of print.

Fog computing-assisted path planning for smart shopping

Farouq Aliyu  1 , Mohammad A R Abdeen  2 , Tarek Sheltami  1 , Tareq Alfraidi  3 , Mohamed H Ahmed  4
Affiliations

Fog computing-assisted path planning for smart shopping

Farouq Aliyu et al. Multimed Tools Appl. .

Abstract

A Smart City (SC) is a viable solution for green and sustainable living, especially with the current explosion in global population and rural-urban immigration. One of the fields that is not getting much attention in the Smart Economy (SE) is customer satisfaction. The SE is a component of SC that is concerned with using Information and Communication Technology (ICT) to improve stages of the traditional economy. In this paper, we propose a fog computing-based shopping recommendation system. Our simulations used Al-Madinah city as a case study. It aims to improve the customer shopping experience. Customers in shopping malls can connect to the system via Wi-Fi. Then the system recommends products to the shoppers according to their preferences. It optimizes shoppers' schedules using price, the distance between the shops, and the congestion. It also improves customers' savings by up to 30%. It also increases the shopping speed by up to 6.12% compared to the system proposed in the literature.

Keywords: COVID-19; Internet of things; Pervasive computing; Smart cities; Smart shopping.

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Conflict of interest statement

Competing interestsThe authors have no conflicts of interest to declare that are relevant to the content of this article.

Figures

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PRISMA for smart shopping systems
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Annual publications in smart shopping systems according to Scopus
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System’s top level diagrams
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Simulation setup for the proposed system
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Flowchart modeling shopping
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State chart of the shoppers in the proposed system
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Top-level block diagram for simulating the proposed system
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Performance evaluation of the individual experimental setups
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The probability to continue shopping
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Fig. 10
Performance evaluation of the smart and naive system with varying nonchalant
See this image and copyright information in PMC

References

    1. Aliyu F (2021) Fog computing-assisted path planning for smart shopping simulation code. https://github.com/faroouq/Smart-Shopping - PMC - PubMed
    1. Allam AK (2020) IKEA furniture: Kaggle. kaggle.com. Accessed on 15th May 2021. https://www.kaggle.com/ahmedkallam/ikea-sa-furniture-web-scraping/versio...
    1. Almalki FA, Alsamhi SH, Sahal R, Hassan J, Hawbani A, Rajput NS, Saif A, Morgan J, Breslin J (2021) Green iot for eco-friendly and sustainable smart cities: future directions and opportunities. Mobile Netw Appl. 10.1007/s11036-021-01790-w
    1. Anitta AD, Guddad SS, Anusha AS, Yanamala K, Sahithi SS (2021) Smart shopping cart using IOT and robotic arm:301–305. 10.1109/ICDI3C53598.2021.00067
    1. AnyLogic (2021) AnyLogic: simulation modeling software tools & solutions for business. Accessed on 16th November 2021. https://www.anylogic.com/

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