Drone Base Station Managing Module for IoT Reporting Alignment
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Solution Overview
Problem
Wireless communication systems face inefficiencies in power usage when employing drone base stations, particularly in managing communication with IoT devices that report data infrequently, leading to suboptimal power consumption for both wireless communication and mobility.
Innovation Solution
A managing module organizes wireless devices into groups based on their data reporting intervals and determines information to align reporting, allowing for synchronized data transmission, thereby reducing power usage by optimizing the network node's active and idle states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the drone base station continuously monitors and remains ready to receive transmissions from IoT devices, then communication reliability is improved, but power consumption increases
Solution Approach 1:
The patent implements periodic monitoring cycles where the drone base station alternates between active monitoring states and idle states. Instead of continuous monitoring, the system checks for transmissions at regular intervals defined by monitoring cycle parameters, allowing the drone to enter low-power modes between cycles while maintaining the ability to detect and respond to IoT device transmissions reliably
Solution Approach 2:
The system performs preliminary actions by pre-configuring monitoring parameters, transmission power levels, and response protocols before actual communication events occur. The drone base station prepares communication resources in advance based on predicted IoT device behavior patterns, reducing the need for continuous high-power operation
2Reliability
If the drone base station adjusts position frequently to maintain optimal coverage, then coverage quality is improved, but mobility power consumption increases
Solution Approach 1:
The patent implements dynamic position adjustment where the drone base station modifies its position based on real-time conditions such as IoT device distribution, signal quality metrics, and battery status. Instead of fixed or frequent predetermined movements, the system dynamically determines when and where position changes are necessary, optimizing the trade-off between coverage quality and energy expenditure
Solution Approach 2:
The system applies different monitoring and positioning strategies to different spatial zones. The drone base station focuses enhanced monitoring and position adjustment on areas with high-density IoT devices or critical communication needs, while reducing activity in low-priority zones, thereby improving overall coverage efficiency without uniform high power consumption
3Loss of energy
If the monitoring cycle duration is extended to save power, then power efficiency is improved, but response time to transmissions deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-synchronizing IoT devices to transmit data at predetermined times within the monitoring cycle. This coordination allows the drone base station to enter low-power states knowing exactly when to wake for monitoring, extending the effective monitoring cycle duration while maintaining rapid response capability through anticipatory synchronization
Solution Approach 2:
The system implements feedback mechanisms where the drone base station adjusts monitoring cycle parameters based on observed transmission patterns from IoT devices. When transmissions are frequent, the system shortens monitoring cycles; when transmissions are sparse, it extends cycles for power savings. This adaptive feedback loop optimizes the balance between power efficiency and response time based on actual network conditions
Data Source
AI summary
A method and a managing module (110) for enabling management of operation of a network node (131) in a network (100) are disclosed. A set of indications of intervals for reporting of data is configured into the wireless devices (141-148). The managing module (110) obtains (210) the set of indications of intervals for reporting of data. The managing module (110) organises (220) the wireless devices (141-148) into a set of one or more groups (151-153) of wireless devices (141-148) based on the set of indications of intervals for reporting of data. Moreover, the managing module (110) determines (230) information for aligning for aligning reporting from the wireless devices (141-148) within each group of the set of one or more groups (151-153). The managing module (110) provides (240) the information for aligning reporting. A corresponding computer program (605) and a computer program carrier (605) are also disclosed.


