Wireless Sensor Sleep Duration Optimization
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently managing energy consumption while meeting delay constraints, particularly in wireless wide area network (WWAN)-enabled personal private networks (PPNs), which limits the connectivity and utility of personal devices for applications like remote monitoring and home security.
Innovation Solution
The system optimizes energy consumption by determining and adjusting sleep durations of mobile devices and sensors within local wireless proximity, ensuring that energy levels are managed to meet end-to-end delay constraints for services, using a distributed energy optimization scheme that considers sleep and awake cycles, processing times, and network communication times across multiple nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If mobile devices and sensors operate continuously in active mode to ensure service availability, then service responsiveness is improved, but energy consumption increases
Solution Approach 1:
The patent implements periodic sleep-wake cycles for mobile devices and sensors, where devices alternate between active monitoring periods and sleep periods. This periodic operation reduces energy consumption while maintaining service availability by ensuring devices wake up at appropriate intervals to check for events or transmit data, thus resolving the contradiction between continuous operation and energy savings.
Solution Approach 2:
The system dynamically adjusts sleep durations and wake intervals based on service requirements, event detection needs, and energy levels. This dynamic adaptation allows the system to optimize the balance between service availability and energy consumption by extending sleep periods when services are stable and reducing them when responsiveness is critical, directly addressing the technical contradiction.
2Use of energy by moving object
If sleep durations are extended to conserve energy, then energy efficiency is improved, but end-to-end delay increases
Solution Approach 1:
The patent employs feedback mechanisms where the system monitors service performance, event types, and delay constraints to dynamically adjust sleep durations. When delay constraints are approached or critical events are detected, the system reduces sleep durations to maintain timely response. This feedback-driven adjustment resolves the contradiction by optimizing sleep length based on actual system needs rather than using fixed intervals.
Solution Approach 2:
The system performs preliminary actions by buffering data and pre-processing events during active periods before entering sleep mode. This allows the system to extend sleep durations without proportionally increasing delay, as accumulated data can be transmitted efficiently during brief wake periods, thus mitigating the delay impact while maintaining energy efficiency.
3Adaptability or versatility
If multiple personal devices are connected through WWAN to enable ubiquitous applications, then application functionality is improved, but system complexity increases
Solution Approach 1:
The patent segments the system into independent controllable units (mobile devices, sensors, gateways) that can operate autonomously with standardized communication protocols. This segmentation allows multiple devices to be connected without proportionally increasing overall system complexity, as each unit manages its own energy and communication independently. The modular structure enables ubiquitous applications while keeping individual device complexity manageable.
Data Source
AI summary
An apparatus including a processing system configured to determine an energy consumption on the mobile device during sleep and active modes of the mobile device; determine an energy consumption on the sensor during sleep and active modes of the sensor; determine energy levels of the mobile device and the sensor, and; set sleep durations of the mobile device based on the sleep duration of the sensor while meeting an end-to-end delay constraint for a service related to the sensor. A method is also disclosed.