Mesh Network Node Proximity Management via Movement Detection
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Solution Overview
Problem
In mesh networks, especially those with mobile nodes, frequent exchanges of control messages to maintain the set of proximate nodes require significant energy, reducing battery lifetime and increasing operational costs.
Innovation Solution
A method where nodes determine their proximate nodes based on movement information, reducing the frequency and intensity of communication when stationary, and adjusting routing parameters accordingly, using sensors and movement status updates to conserve energy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If control messages are exchanged frequently to maintain the set of proximate nodes in a mesh network, then the network organization and routing information remain up-to-date, but energy consumption increases and battery lifetime decreases
Solution Approach 1:
The system dynamically adjusts the frequency of control message exchanges based on node movement status. When nodes are stationary, control messages are exchanged less frequently, reducing energy consumption. When movement is detected, the frequency increases to maintain accurate routing information. This dynamic adaptation resolves the contradiction between maintaining reliable network organization and minimizing energy usage.
Solution Approach 2:
The invention changes the parameter of control message exchange frequency based on movement detection. By monitoring whether nodes are moving or stationary, the system adjusts the timing and frequency of proximity set updates, thereby optimizing the balance between network reliability and energy consumption.
2Measurement precision
If control messages are exchanged frequently to update proximate node information, then routing accuracy is maintained, but battery lifetime of mobile nodes is reduced
Solution Approach 1:
The system dynamically adjusts control message exchange frequency based on detected node movement. When nodes are stationary, exchanges occur less frequently, preserving battery life. When movement is detected, frequency increases to maintain routing accuracy. This dynamic behavior resolves the contradiction between maintaining precise routing information and extending battery lifetime.
Solution Approach 2:
The invention changes the temporal parameter of control message exchanges based on movement status. By adapting the exchange frequency to actual network conditions (stationary vs. moving), the system maintains routing accuracy while minimizing unnecessary energy consumption, thereby extending battery lifetime.
3Adaptability or versatility
If the set of proximate nodes is established frequently, then network adaptability to position changes is improved, but energy required for wireless communication increases
Solution Approach 1:
The system dynamically adjusts the frequency of proximate node set establishment based on movement detection. When nodes are stationary, the set is established less frequently, reducing energy loss. When movement occurs, establishment frequency increases to maintain network adaptability. This dynamic adjustment resolves the contradiction between adaptability and energy efficiency.
Solution Approach 2:
The invention changes the frequency parameter of proximate node set establishment based on movement status. By adapting this parameter to actual network conditions, the system maintains network adaptability to position changes while minimizing energy loss from unnecessary wireless communications.
Data Source
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AI summary
A method for controlling a first node in a mesh network comprises steps of establishing, by the first node, a set of proximate nodes in the mesh network, wherein between the first node a proximate node direct communication is possible, and collecting, by the first node, movement information concerning a movement of one of said nodes, wherein establishing the set is done on the basis of said movement information.