Dynamic Root Node Selection in Ad Hoc Networks
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Solution Overview
Problem
Existing ad hoc networks face inefficiencies in designating and selecting a root node, leading to suboptimal messaging, increased delays, and loss of functionality due to the root node's potential non-optimal location and vulnerability to connectivity issues.
Innovation Solution
A method for dynamically selecting a root node based on the capabilities and characteristics of nodes in the network, using status messages with primary and secondary factors to determine an aggregate weighted value, allowing for efficient routing and reducing system traffic and channel congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a root node is manually configured or statically designated in an ad hoc network, then the network can operate with a centralized control point, but the root node may be located in a non-optimal position leading to increased messaging overhead and delays
Solution Approach 1:
The patent implements dynamic root node selection where nodes periodically evaluate their suitability as root node candidates based on current network topology and node characteristics. The root node designation changes over time based on changing network conditions, allowing the system to adapt to topology changes and select optimally positioned nodes, thereby reducing messaging delays while maintaining operational simplicity through automated evaluation criteria.
Solution Approach 2:
The patent changes the selection parameters from static manual configuration to dynamic evaluation based on multiple factors including node mobility, battery level, processing capability, and current network topology. By continuously monitoring and re-evaluating these parameters, the system identifies the most suitable root node candidate at any given time, optimizing network performance without increasing operational complexity.
2Ease of manufacture
If a root node is manually configured or statically designated, then the setup process is simple, but the network loses functionality when the root node experiences connectivity issues or moves out of optimal position
Solution Approach 1:
The patent implements preliminary action by having nodes pre-evaluate their suitability as root node candidates and maintain readiness protocols. When the current root node fails or becomes unreachable, the system can quickly transition to a pre-identified backup candidate, minimizing network disruption and maintaining functionality continuity while keeping the setup process simple through pre-configured evaluation criteria.
Solution Approach 2:
The patent employs feedback mechanisms where nodes continuously monitor network conditions and root node performance. When connectivity issues are detected, the system receives feedback about the current root node's status and automatically initiates reselection procedures based on predefined criteria, ensuring network reliability without requiring complex manual reconfiguration.
3Productivity
If dynamic root node selection is implemented based on multiple node characteristics, then optimal root node selection is achieved reducing messaging overhead, but the selection process complexity increases
Solution Approach 1:
The patent segments the root node selection process into distinct evaluation phases and independent criteria (mobility assessment, battery level check, processing capability evaluation, topology analysis). Each criterion can be evaluated separately and combined through a scoring mechanism, reducing overall process complexity while maintaining comprehensive assessment for optimal root node selection and improved network efficiency.
4Ease of manufacture
If the root node is manually configured, then initial network setup is straightforward, but messaging overhead increases and delays occur due to non-optimal root node location
Solution Approach 1:
The patent implements self-service by enabling nodes to automatically evaluate their own suitability as root node candidates based on their inherent characteristics (battery level, processing power, mobility status) and current network conditions. This automated self-assessment eliminates the need for complex manual configuration while identifying optimally positioned nodes that minimize messaging overhead and energy consumption across the network.
Data Source
AI summary
Techniques are provided for selecting a root node in an ad hoc network comprising a plurality of nodes including a first node. According to one implementation of these techniques, a first node can receive a message from at least one of the other nodes. Each message includes a number of primary factors associated with a particular node regarding capabilities of the particular node. The primary factors associated with each node can then be evaluated, and an attempt can be made to select the root node based on the primary factors associated with each node. If the first node is unable to select the root node based on the primary factors associated with each node, then the root node can be selected based on secondary factors associated with each node.