Selective Transceiver Energization for Predicted Indoor Mobility Paths
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless network systems with always-on transceivers face high energy consumption, increased attack surface, interference, and maintenance issues, while minimum service level agreements and user experiences must be maintained.
Innovation Solution
Configure wireless network devices to operate with minimal energization by using transceivers that can be selectively powered on or off based on motion detection and prediction, utilizing machine learning and existing endpoints for identity tracking and motion sensing without dedicated motion tracking hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If transceivers are kept in an always-on state to maintain user experience and service level agreements, then user experience and service reliability are improved, but energy consumption increases
Solution Approach 1:
The patent applies dynamics by transitioning from a static always-on transceiver state to a dynamic power management system. Transceivers are selectively powered on or off based on real-time motion detection and prediction algorithms, allowing the system to adapt power consumption to actual usage patterns while maintaining service reliability through intelligent activation before users arrive.
Solution Approach 2:
The system performs preliminary motion detection and trajectory prediction to anticipate user arrival before they actually connect to the network. By detecting motion and predicting movement paths in advance, the system can proactively power on transceivers in anticipated user locations, ensuring service availability without requiring continuous transceiver operation.
2Use of energy by moving object
If transceivers are turned off to reduce energy consumption, then energy costs are reduced, but interference and attack surface increase
Solution Approach 1:
The system implements feedback mechanisms where motion detection data and prediction results continuously inform transceiver power management decisions. This feedback loop ensures that transceivers are powered on only when motion is detected or predicted, dynamically adjusting power states to minimize energy consumption while maintaining network availability and reducing the attack surface by keeping transceivers off during idle periods.
3Measurement precision
If motion sensors are deployed to track user movement, then motion detection accuracy is improved, but system cost increases
Solution Approach 1:
The patent applies universality by enabling existing wireless network transceivers to perform multiple functions: traditional wireless communication plus motion detection and trajectory prediction. Instead of adding dedicated motion sensors, the system leverages the multi-functionality of existing transceivers to detect motion patterns and predict user movement, thereby achieving accurate motion tracking without increasing hardware costs or system complexity.
Data Source
AI summary
Various methods, systems, and/or processes are described herein that can operate on a minimally energized power level to detect motion and paths of motion within an environment. A device suitable for carrying out these operations may include an energization optimization logic which can be responsible for selecting a floorplan, identifying access points associated with the floorplan, determining identities, such as persons, located within the floorplan, and tracking their motion. Once this information is gathered, the logic determines a reduced power configuration and passes it to various access points in the floorplan area to reduce the energy consumption based on the configuration. This allows for energy optimization while still maintaining the tracked motion of the identities within the floorplan. The logic allows for efficient power usage in areas with high traffic flow, while still maintaining the quality of service for the identities within the space, which can change dynamically over time.


