A Novel Social Distancing Approach for Limiting the Number of Vehicles in Smart Buildings Using LiFi Hybrid-Network

Area of Science:

• Public Health
• Wireless Communication
• Smart Buildings

Background:

• COVID-19 mutations and lack of cure necessitate novel containment strategies.
• Existing social distancing models have privacy vulnerabilities and lack vehicle management.
• No prior social distancing technique addresses vehicle monitoring and scheduling in smart buildings.

Purpose of the Study:

• To propose a novel system for real-time monitoring, tracking, and scheduling of vehicles in smart buildings.
• To introduce the social distancing approach for limiting the number of vehicles (SDA-LNV) as a new social distancing strategy.
• To leverage LiFi technology for vehicle-to-infrastructure (V2I) communication within a social distancing framework.

Main Methods:

• Developed a new system design for real-time vehicle monitoring, tracking, and scheduling.
• Integrated LiFi technology as the wireless transmission medium for the social distancing approach.
• Implemented a Vehicle-to-Infrastructure (V2I) communication model for smart building environments.

Main Results:

• The proposed SDA-LNV system enables real-time monitoring and scheduling of vehicles.
• LiFi technology integration facilitates efficient V2I communication for social distancing.
• The system aids in counting potential infection volumes and managing building access.

Conclusions:

• The SDA-LNV system offers a novel solution for social distancing in smart buildings.
• LiFi-based V2I communication enhances traditional social distancing measures.
• The system is expected to reduce infection rates in environments where conventional methods are insufficient.