雾计算辅助路径规划,用于智能购物
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.
概括
这项研究引入了雾计算系统,以提高智能城市的客户满意度. 该系统通过推产品和提高效率来优化购物体验,从而增加储蓄和更快的购物速度.
科学领域:
- 计算机科学 计算机科学
- 信息技术 信息技术 信息技术
背景情况:
- 智慧城市 (SC) 在人口增长的背景下提供可持续的城市生活解决方案.
- 在SC的智能经济 (SE) 组件中的客户满意度需要进一步发展.
- 信息和通信技术 (ICT) 的整合是改善东南亚传统经济模式的关键.
研究的目的:
- 为智慧城市提出基于雾计算的购物推系统.
- 为了提高顾客在购物中心的购物体验.
- 根据价格,距离和拥堵来优化购物时间表.
主要方法:
- 开发了一个基于雾计算的推系统.
- 模拟了使用Al-Madinah城市作为案例研究的系统.
- 集成的Wi-Fi连接可供客户访问和个性化的建议.
主要成果:
- 该系统根据客户的偏好推产品.
- 通过考虑价格,距离和拥堵来优化购物时间表.
- 在客户的节省中实现了高达30%的改善.
- 与现有系统相比,购物速度提高了6.12%.
结论:
- 雾计算可以显著提高智能经济中的客户满意度.
- 拟议的系统为增强智能城市购物体验提供了一个实际的解决方案.
- 该系统在客户节省和购物效率方面显示出有形的好处.
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