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Fog computing-assisted path planning for smart shopping.

Farouq Aliyu1, Mohammad A R Abdeen2, Tarek Sheltami1

  • 1Computer Engineering Department, King Fahd University of Petroleum and Mineral, Academic Belt Road, Dhahran, 31261 Saudi Arabia.

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Summary
This summary is machine-generated.

This study introduces a fog computing system to enhance customer satisfaction in smart cities. The system optimizes shopping experiences by recommending products and improving efficiency, leading to increased savings and faster shopping.

Keywords:
COVID-19Internet of thingsPervasive computingSmart citiesSmart shopping

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Area of Science:

  • Computer Science
  • Information Technology

Background:

  • Smart Cities (SC) offer sustainable urban living solutions amidst population growth.
  • Customer satisfaction within the Smart Economy (SE) component of SC requires further development.
  • Information and Communication Technology (ICT) integration is key to improving traditional economic models in SE.

Purpose of the Study:

  • To propose a fog computing-based shopping recommendation system for smart cities.
  • To enhance the customer shopping experience within shopping malls.
  • To optimize shopper schedules based on price, distance, and congestion.

Main Methods:

  • Developed a fog computing-based recommendation system.
  • Simulated the system using Al-Madinah city as a case study.
  • Integrated Wi-Fi connectivity for customer access and personalized recommendations.

Main Results:

  • The system recommends products based on customer preferences.
  • Optimized shopper schedules by considering price, distance, and congestion.
  • Achieved up to 30% improvement in customer savings.
  • Increased shopping speed by up to 6.12% compared to existing systems.

Conclusions:

  • Fog computing can significantly improve customer satisfaction in Smart Economies.
  • The proposed system offers a practical solution for enhancing the shopping experience in Smart Cities.
  • The system demonstrates tangible benefits in terms of customer savings and shopping efficiency.