Beacon Collision Avoidance via Distributed Signal Detection
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Solution Overview
Problem
Existing systems for reducing collision risks between individuals and obstacles, such as those interacting with mobile devices, are ineffective in unmanaged environments without communication networks and do not account for user attention levels.
Innovation Solution
The implementation of beacon signals by obstacles and mobile devices to detect and alert each other of potential collisions, using a peer-to-peer network without a centralized architecture, allowing for unidirectional data sharing and frequency hopping in unlicensed frequency bands to reduce collision probabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a centralized architecture with a central unit is used to manage beacon signals, then collision detection accuracy is improved, but system complexity and dependency on network infrastructure increase
Solution Approach 1:
Each mobile device independently performs collision risk assessment by receiving beacon signals from other devices, calculating its own collision probability, and generating alerts without requiring a central unit. This self-service approach reduces system complexity while maintaining detection accuracy through distributed computation.
Solution Approach 2:
The centralized collision detection function is segmented and distributed to individual mobile devices. Each device independently processes beacon signals and performs collision risk calculations, transforming a monolithic centralized system into multiple autonomous decision-making units that collectively provide comprehensive collision detection coverage.
2Reliability
If beacon signals are transmitted frequently to increase detection probability, then collision detection reliability is improved, but energy consumption and signal interference increase
Solution Approach 1:
Beacon signals are transmitted periodically at optimized intervals rather than continuously. Each device transmits beacons at regular intervals, allowing sufficient time for signal propagation and reception while maintaining reliable detection coverage. This periodic transmission reduces energy consumption compared to continuous transmission while preserving collision detection reliability.
Solution Approach 2:
The transmission parameters of beacon signals are dynamically adjusted based on environmental conditions and device states. Transmission power, frequency, and interval are modified to optimize the balance between detection reliability and energy consumption, ensuring reliable collision detection while minimizing energy loss.
3Measurement precision
If multiple devices transmit beacon signals simultaneously to reduce interference, then signal detection accuracy is improved, but coordination complexity and response time increase
Solution Approach 1:
The beacon signal transmission system dynamically adapts to changing environmental conditions and device distributions. Devices adjust their transmission timing and power levels in real-time based on detected signal conditions, enabling simultaneous transmissions without fixed coordination protocols. This dynamic adaptation maintains signal detection accuracy while minimizing response delays.
Data Source
AI summary
An apparatus and a method for reducing collision risks between an entity and at least an obstacle, wherein the apparatus includes a transmitter adapted to emit a first beacon signal apt to avoid a collision, a receiver adapted to receive at least a second beacon signal that can be emitted by another apparatus which could dangerously approach to the apparatus, a processor configured for detecting at least the second beacon signal received through the receiver, detecting at least a property of at least the second beacon signal, determining, on the basis of the at least one property of the second beacon signal, at least a property of the first beacon signal, and emitting the first beacon signal through the transmitter in order to reduce collision risks.