Gateway Message Delivery Prediction for Home Area Networks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wireless networks face challenges in efficiently managing message delivery between home area networks and local area networks, particularly in predicting and optimizing message delivery times, especially when bandwidth is limited and nodes operate in sleep states.
Innovation Solution
A method that involves a gateway predicting whether messages are fast or slow delivery messages based on node characteristics and operational states, prioritizing delivery of fast messages and sending pending acknowledgments to manage message queuing and bandwidth usage effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the gateway delivers messages in FIFO order without prediction, then message delivery is simple and deterministic, but fast messages experience increased latency when slow messages are queued ahead
Solution Approach 1:
The gateway performs preliminary action by predicting message delivery speed before actual delivery occurs. It analyzes historical delivery patterns and node characteristics (such as sleep schedules) in advance to classify incoming messages as fast or slow delivery messages, allowing optimal queue positioning decisions to be made proactively rather than reactively
Solution Approach 2:
The message queue structure is made dynamic by allowing different message types to be positioned differently based on real-time characteristics. Fast delivery messages can be placed ahead of slow delivery messages in the queue, creating a flexible, adaptive ordering system that responds to message-specific properties rather than following a static FIFO protocol
2Productivity
If the gateway prioritizes fast messages over slow messages, then overall network efficiency improves, but complex prediction and classification mechanisms are required
Solution Approach 1:
The gateway implements feedback mechanisms by monitoring actual message delivery times and comparing them against predicted delivery speeds. This feedback loop allows the system to refine its prediction algorithms over time, adjusting its understanding of node characteristics and message patterns to improve classification accuracy and overall network throughput
Solution Approach 2:
The system changes parameters by dynamically adjusting message queue positions based on predicted delivery characteristics. Instead of using a fixed queue ordering, the gateway modifies the delivery sequence parameter by interleaving fast and slow messages optimally, thereby increasing network throughput without requiring complex hardware modifications
3Reliability
If the gateway waits for slow messages to complete before delivering fast messages, then message ordering is preserved, but fast message delivery latency increases
Solution Approach 1:
The message stream is segmented into distinct categories based on predicted delivery speed. By dividing messages into fast and slow delivery groups, the gateway can process and queue them separately, allowing fast messages to be delivered without waiting for slow messages while maintaining reliable delivery through separate tracking and acknowledgment mechanisms for each segment
Data Source
AI summary
Networks with a plurality of independent nodes are useful when the nodes can communicate with one another and with nodes and resources outside the network. The present disclosure addresses ways to encapsulate packets as they move from a sender to a receiver, and also addresses ways for speeding up messages between nodes by orderly queuing and processing of messages. The present disclosure also includes techniques for mapping nodes in a home area network to IP addresses in a local area network.