Ad-hoc Network Node Duty Cycle Adjustment
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Solution Overview
Problem
Ad-hoc networks face challenges in determining an optimal duty cycle for nodes to balance data throughput and power consumption, as existing methods fail to efficiently adjust duty cycles based on traffic load and network topology.
Innovation Solution
Nodes in the network interactively adjust their duty cycles based on the number of hops from a Personal Area Network (PAN) coordinator, using a method that determines the duty cycle by assessing data traffic load and adjusting the Superframe Order (SO) accordingly, ensuring spatial patterns of duty cycles that maximize throughput and minimize power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If nodes use a low duty cycle to conserve battery life, then power consumption is reduced, but data throughput decreases
Solution Approach 1:
The patent applies local quality by assigning different duty cycles to nodes based on their specific position in the network (number of hops from PNC). Nodes closer to the PNC use different duty cycles than nodes farther away, creating a spatially differentiated power management strategy that optimizes both power consumption and throughput for each location in the network.
Solution Approach 2:
The patent implements dynamics by making duty cycles adjustable and adaptive rather than fixed. Nodes can change their duty cycles based on current network conditions, traffic load, and position, allowing the system to dynamically balance power consumption and data throughput requirements as conditions change.
2Productivity
If nodes use a high duty cycle to maximize data throughput, then data delivery rate improves, but battery life decreases
Solution Approach 1:
The patent differentiates duty cycle requirements by network position, with nodes at different hop distances from the PNC assigned appropriate duty cycles. This ensures that nodes closer to the PNC (which may have better connectivity) can use lower duty cycles, while nodes farther away use higher duty cycles only when necessary for maintaining throughput, optimizing the battery-life versus throughput tradeoff for each node.
Solution Approach 2:
The patent changes the duty cycle parameter based on network conditions and node position. By adjusting this key parameter dynamically, the system can shift between power-saving mode and throughput-optimized mode, allowing nodes to achieve acceptable data delivery rates while extending battery life compared to always using high duty cycles.
3Device complexity
If all nodes use the same duty cycle, then network operation is simplified, but spatial patterns of duty cycles cannot maximize throughput and minimize power consumption
Solution Approach 1:
The patent segments the network into zones based on the number of hops from the PNC. Each zone (defined by hop distance) can have its own duty cycle configuration, allowing the system to manage complexity through structured segmentation while still achieving optimized throughput and power consumption through spatially-aware duty cycle assignment.
4Use of energy by moving object
If nodes frequently adjust duty cycles to adapt to traffic load, then power efficiency improves, but control complexity increases
Solution Approach 1:
The patent implements dynamic duty cycle adjustment based on traffic load conditions. Nodes monitor their data traffic patterns and adjust their duty cycles accordingly, increasing activity during high-traffic periods and reducing activity during low-traffic periods. This dynamic adaptation improves power efficiency while the adjustment mechanisms are designed to manage control complexity.
Solution Approach 2:
The system uses feedback from traffic load monitoring to adjust duty cycles. Nodes continuously assess their data traffic conditions and use this feedback to make informed decisions about their duty cycle settings, creating a closed-loop control system that optimizes power efficiency based on actual network conditions while maintaining manageable control complexity through rule-based adjustment logic.
Data Source
AI summary
A method and apparatus for determining a node's proper duty cycle is provided herein. All nodes (500) within a network (100) will interactively switch duty-cycles based on a number of hops a device is from a personal area network coordinator PNC. Changing duty cycles based on a number of hops from a PNC assures that spatial patterns of duty-cycles form in a network to maximize data throughput and minimize network wide power consumptions.