Mobile Device Location Tracking Power Efficiency Algorithm
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Solution Overview
Problem
Mobile communications devices face power constraints that limit their ability to process location-based services efficiently, and there is a need for systems and methods to share location information while ensuring privacy and controlling access to this information.
Innovation Solution
A communications system that includes a mobile communications device configured to transmit location data based on a power efficiency algorithm, which specifies intervals related to server queries, time, distance movement, and geographic boundaries, and a server computer system that receives and filters this data according to user preferences, allowing selective sharing and access control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If location data is transmitted continuously to provide accurate location tracking, then location accuracy is improved, but power consumption increases
Solution Approach 1:
The system implements periodic location data transmission with variable intervals. The mobile device transmits location data at predetermined intervals rather than continuously, and the server sends queries at scheduled times. This periodic action reduces power consumption while maintaining acceptable location tracking accuracy by balancing transmission frequency with service requirements.
Solution Approach 2:
The transmission interval is made dynamic and adjustable based on service requirements. The system allows modification of transmission intervals to adapt to different operational conditions, enabling the balance between location accuracy and power consumption to be optimized in real-time according to specific service needs.
2Adaptability or versatility
If location data is shared with multiple users and services, then service functionality is improved, but privacy security deteriorates
Solution Approach 1:
The system implements differentiated access control where different users and services receive location data with different levels of access rights. Each subscriber can define specific criteria for which services receive location data and under what conditions. This local quality approach allows selective sharing with specific entities while maintaining privacy security by restricting access to only those with legitimate needs.
Solution Approach 2:
Location data access is segmented into different levels and categories. The system divides access rights by service type, user relationship, and specific conditions. This segmentation enables fine-grained control over who receives location data and when, allowing service functionality to be improved through selective sharing while maintaining privacy security through restricted access.
3Measurement precision
If location data transmission interval is reduced to improve tracking accuracy, then location precision is improved, but power consumption increases
Solution Approach 1:
The system uses periodic transmission with variable intervals optimized for different service requirements. Rather than continuous transmission, location data is sent at scheduled intervals that can be adjusted based on the specific service needs, achieving acceptable tracking accuracy while significantly reducing power consumption compared to continuous transmission.
Solution Approach 2:
The transmission interval parameter is made variable and adjustable. The system allows modification of the time interval between transmissions based on service requirements, enabling optimization of the balance between tracking accuracy and power consumption by changing this key parameter according to specific operational conditions.
Data Source
AI summary
Systems and methods related to the provision of location based services via a mobile communications device are described. A communication system is described, which may include a mobile communications device, a mobile communications base station, and a server computer system. The location of the device may be correlated with certain user preferences stored on the server computer system. In some cases, various location related mapping functions for a device are discussed. Systems and methods which provide for activities to be undertaken based on the location of a device are also described. The disclosure also addresses systems and methods of efficiently determining the location of a mobile device. Different notification schemes based on the location of a device and specified preferences are described. In addition, the disclosure addresses systems and methods for keyword monitoring based on the location of a device.