Gateway Sink Nomination via Multi-Factor Traffic Scoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wireless network protocols, such as RPL and AODV, lack the ability to dynamically and efficiently designate a gateway as the sink in a wireless network by examining multiple traffic factors beyond just the number of hops, leading to suboptimal data transmission to the cloud.
Innovation Solution
A method that measures various traffic factors like cost, data rate, RSSI, latency, and lost packets for each gateway, normalizes these measurements, and dynamically assigns the most efficient gateway as the sink based on the highest scores, allowing for routine updates at preset intervals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If current wireless network protocols (RPL, AODV) are used to designate a gateway as sink, then the gateway selection is based on simple hop count, but the network performance and transmission efficiency deteriorate due to lack of consideration for multiple traffic factors
Solution Approach 1:
The patent changes the selection parameters from simple hop count to multiple traffic factors including cost, data rate, RSSI, latency, and lost packets. Each gateway is scored based on these parameters, and the gateway with the highest score is selected as sink, thereby improving transmission efficiency while maintaining manageable complexity through structured evaluation
Solution Approach 2:
The system implements feedback mechanisms where gateways measure traffic factors, calculate scores, and dynamically update sink designation. The sink gateway is identified based on normalized measurements of multiple traffic factors, and this designation can be updated at preset intervals, creating a responsive feedback loop that adapts to changing network conditions
2Measurement precision
If multiple traffic factors are measured and normalized for each gateway, then the accuracy of sink gateway selection is improved, but the computational complexity and measurement requirements increase
Solution Approach 1:
The patent normalizes multiple traffic factor measurements (cost, data rate, RSSI, latency, lost packets) to a common scale, enabling accurate comparison across different gateways. This normalization process transforms diverse measurement units and scales into comparable scores, improving evaluation accuracy while systematically managing measurement complexity
Solution Approach 2:
The evaluation process is segmented into distinct measurable factors (cost, data rate, RSSI, latency, lost packets), each measured and normalized separately. This segmentation allows the system to handle complexity in manageable components while achieving comprehensive and accurate gateway evaluation through aggregation of individual factor scores
3Reliability
If dynamic sink gateway assignment is implemented based on multiple traffic factors, then network reliability is enhanced, but the system complexity and overhead increase
Solution Approach 1:
The patent implements dynamic sink gateway assignment where the sink designation is not fixed but can change based on current network conditions. Gateway scores are calculated based on real-time traffic factor measurements, and the gateway with the highest score becomes the sink, allowing the system to adapt dynamically to changing conditions and maintain reliability
Solution Approach 2:
The system uses feedback loops where traffic factors are continuously measured, scores are updated, and sink designation is revised accordingly. Updates occur at preset intervals, creating a controlled feedback mechanism that enhances reliability through adaptive response to network changes while managing complexity through structured update cycles
Data Source
AI summary
An information handling system of a first gateway access point in a wireless network includes at least one wireless adapter for receiving a plurality of reply messages including information that can be used to calculate a plurality of traffic factor values describing traffic flow between one of a plurality of gateways in the wireless network and a cloud computing resource, and a processor executing code instructions of a wireless network gateway sink nomination system. The wireless network gateway sink nomination system may calculate a traffic factor value for each of the plurality of gateways, based on the reply messages, received from with each gateway identify a most desirable sink gateway from the plurality of gateways, and transmit the identity of the most desirable sink gateway to the plurality of gateways for transmitting data bound for the cloud computing resource via the most desirable sink gateway.