Dynamic IoT Boundary Resetting for Vehicle Arrival Timing
Solution Overview
Problem
Existing IoT boundary services, such as welcome/goodbye services, do not consider the arrival direction or time differences of a vehicle, leading to inefficient activation and deactivation of time-sensitive services and potential energy wastage.
Innovation Solution
A method and apparatus that dynamically reset the boundary based on the vehicle's entry direction and estimated vs. actual time of arrival, allowing for precise timing of service activation and deactivation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed boundary is set around a destination and service is activated when vehicle enters the boundary, then service activation is simple and automatic, but service timing accuracy deteriorates when vehicle stops or delays in the boundary
Solution Approach 1:
The boundary is transformed from a static fixed region to a dynamic region that moves and adjusts based on vehicle location, entry direction, and time parameters. The boundary resetting mechanism dynamically adapts the boundary position to maintain accurate service timing even when vehicles experience delays or stopovers within the boundary area.
Solution Approach 2:
The system uses feedback from vehicle location data, entry direction, and time information (ETA vs actual time) to automatically reset and adjust the boundary position. This closed-loop feedback mechanism ensures that the boundary adapts to actual vehicle behavior patterns, maintaining service timing accuracy without requiring manual intervention.
2Loss of energy
If service is activated based on simple boundary entry detection, then energy consumption is reduced through automatic deactivation, but energy waste increases when time-sensitive services are activated too early due to stopovers
Solution Approach 1:
The system performs preliminary analysis of vehicle entry direction and time parameters (ETA vs actual time) before activating services. By predicting whether the vehicle will experience delays based on historical patterns and current trajectory, the system prepares appropriate boundary adjustments in advance, ensuring services are activated at the optimal time rather than too early or too late.
Solution Approach 2:
The system changes boundary parameters (position, radius) based on vehicle-specific factors including entry direction, time deviation patterns, and stopover history. This parameter adaptation allows the boundary to be customized for different vehicles and scenarios, optimizing both energy efficiency and service reliability by activating services only when truly needed.
3Device complexity
If a single fixed boundary is used for all vehicles, then system complexity is minimized, but adaptability to different vehicle entry directions and patterns deteriorates
Solution Approach 1:
The single fixed boundary is segmented into multiple directional boundaries or adjusted boundary regions based on vehicle entry direction. Instead of one universal boundary, the system creates direction-specific boundary configurations that adapt to different approach routes, maintaining relative simplicity while significantly improving adaptability to various vehicle patterns.
Data Source
AI summary
Disclosed herein is a method of dynamically modifying a boundary region in provision of an Internet of Things (IoT) service according to entry into and exit from a predetermined boundary region based on vehicle location. A method of controlling a boundary based service provision system includes setting a boundary around a destination according to a predetermined criterion, acquiring an entry direction of a vehicle and an estimated time of arrival (ETA) and an actual time required in the entry direction upon sensing that the vehicle passes through the boundary toward the destination, and resetting the boundary in the entry direction when a difference between the ETA and the actual time required is equal to or greater than a predetermined value.