Multidrop Network Transmission Opportunity Allocation
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Solution Overview
Problem
Existing multidrop network systems are limited in increasing transmission opportunities for nodes based on demand, as they require preplanned node numbers and only one transmission opportunity per node in each round, restricting adaptability and efficiency.
Innovation Solution
A multidrop network system with N network devices, including a master device and (N-1) slave devices, where each device has identification codes and performs count operations to generate current values, allowing M transmission-permissible devices to earn multiple opportunities based on identification code matches within a defined count range, dynamically adjusting to meet demand.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If each node is preassigned only one transmission opportunity per round, then packet collision is prevented, but the system cannot adapt to varying transmission demands of different nodes
Solution Approach 1:
The patent segments the transmission opportunity allocation by assigning multiple identification codes to different nodes instead of one code per node. This segmentation allows the system to provide differentiated transmission opportunities to different nodes based on their demands, resolving the contradiction between adaptability and complexity by structuring the identification code allocation in a manageable way.
Solution Approach 2:
The patent implements dynamic transmission opportunity allocation by allowing nodes to earn multiple transmission opportunities through count operations and identification code matching. The number of transmission opportunities is no longer fixed but dynamically determined by the node's identification codes and the current count value, enabling the system to adapt to varying transmission demands while maintaining manageable complexity through standardized operational procedures.
2Adaptability or versatility
If the number of nodes is preplanned, then network management is simplified, but the system cannot accommodate dynamic node additions or demand changes
Solution Approach 1:
The patent applies preliminary action by preassigning multiple identification codes to nodes in advance, but unlike the prior art, these codes are not rigidly bound to single transmission opportunities. The identification codes are prepared beforehand to enable flexible transmission opportunity earnings based on actual demand, thus accommodating dynamic node additions while maintaining packet collision prevention through the established count operation protocol.
Solution Approach 2:
The patent changes the parameter of identification code allocation from one code per node to multiple codes per node. This parameter change enables the system to accommodate dynamic node additions and demand changes while maintaining reliability, as the multiple identification codes work within the existing count operation and packet collision prevention mechanisms.
3Productivity
If each node has only one transmission opportunity per round, then network control is simplified, but transmission efficiency decreases when nodes have varying data demands
Solution Approach 1:
The patent implements self-service by allowing nodes to automatically earn transmission opportunities through count operations and identification code matching without requiring complex centralized allocation. Each node independently determines its transmission opportunities based on its identification codes and the current count value, improving transmission efficiency for nodes with varying demands while keeping the management mechanism relatively simple through standardized operational procedures.
Solution Approach 2:
The patent uses feedback mechanisms where nodes earn transmission opportunities based on the matching of their identification codes with the current count value. This feedback loop allows the system to automatically adjust transmission opportunities according to node demands, improving productivity while managing complexity through the systematic feedback-based allocation process.
Data Source
AI summary
A multidrop network system includes N network devices. The N network devices includes M transmission-permissible devices including a master device and at least one slave device, wherein M is not greater than N. Each transmission-permissible device has at least one identification code as its identification in the multidrop network system, and the M transmission-permissible devices have at least N identification codes. The M transmission-permissible devices obtain transmission opportunities in turn according to their respective identification codes in each round of data transmission. A Kth device among the M transmission-permissible devices has multiple identification codes, and thus obtains multiple transmission opportunities in one round of data transmission. Each of the M transmission-permissible devices performs a count operation and generates a current count value; and when the current count value is the same as the identification code of a device of the M transmission-permissible devices, this device earns one transmission opportunity.