Mesh Network Role Updates Using Stabilization Periods
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Solution Overview
Problem
Existing load control systems in user environments, such as residences or office buildings, face challenges in efficiently adjusting network configurations and device roles within mesh networks, leading to suboptimal operation and configuration of lighting, HVAC, and other electrical loads.
Innovation Solution
A load control system that includes control devices capable of collecting data characteristics and adjusting network configurations based on expiration of stabilization periods, using random backoff timers, and upgrading or downgrading device roles to optimize network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If control devices continuously adjust network configuration, then network optimization is improved, but network stability deteriorates due to frequent changes
Solution Approach 1:
The patent implements periodic action by introducing stabilization periods that must elapse between network configuration adjustments. Control devices are permitted to initiate adjustments only after a prior adjustment stabilization period has expired, creating a rhythmic, periodic adjustment pattern rather than continuous changes. This resolves the contradiction by allowing optimization while preventing instability through enforced periodicity.
Solution Approach 2:
The patent applies preliminary action by implementing a stabilization period requirement before allowing new adjustments. The system performs a preliminary check to ensure that a sufficient time has elapsed since the last adjustment, and only then permits new configuration changes. This preliminary waiting period prevents premature or excessive adjustments that would destabilize the network.
2Adaptability or versatility
If control devices frequently initiate adjustments, then network adaptability is improved, but device complexity increases due to multiple adjustment mechanisms
Solution Approach 1:
The patent implements self-service by enabling control devices to autonomously determine when to initiate network adjustments based on collected data characteristics and network optimization characteristics. Each control device independently monitors network conditions and decides whether to adjust configuration without requiring external intervention or complex coordination mechanisms, thereby achieving adaptability while minimizing device complexity.
Solution Approach 2:
The patent applies feedback by having control devices collect and analyze network optimization characteristics from advertisement messages exchanged between devices. This feedback loop allows devices to adapt their behavior based on actual network performance data, enabling intelligent decision-making about when to adjust configurations without requiring overly complex adjustment mechanisms.
3Stability of the object's composition
If control devices wait for stabilization periods, then network stability is improved, but adjustment speed decreases
Solution Approach 1:
The patent resolves this contradiction through periodic action by establishing regular, predictable adjustment cycles rather than continuous operation. The stabilization period creates a rhythmic pattern where adjustments occur at optimal intervals, allowing the network to stabilize between changes while maintaining the capability for timely adjustments when needed. This periodic approach balances stability and speed better than continuous or random adjustment strategies.
Data Source
AI summary
A load control system may include control devices configured to communicate via a network. The network may include router devices and end devices for enabling communication of messages throughout the network. After the network is established, adjustments may be made to the roles of control devices and/or the relationship between the control devices to adjust the operation and/or configuration of the network.