Wireless Network Service Redundancy Calculation
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Solution Overview
Problem
Existing methods for calculating service redundancy in wireless networks do not adequately account for varying capacity across nodes, which is crucial for networks requiring different levels of coverage redundancy.
Innovation Solution
A method that determines multiple routes to a destination, calculates routing metrics based on route capacity, identifies the best route, and calculates service redundancy using weighted ratios of alternate route capacities to the best route, providing a redundancy ratio metric that quantifies additional capacity offered by alternate routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If redundancy is measured in terms of additional devices or radio links, then the measurement is simple to implement, but it does not take into account the varying capacity associated with each node within the wireless network
Solution Approach 1:
The patent transforms the redundancy measurement from a simple count of devices or links to a capacity-weighted metric. It introduces routing metrics that incorporate node capacity, bandwidth, and other performance parameters to calculate a weighted redundancy score that reflects the actual service capability of alternate paths.
Solution Approach 2:
The patent introduces routing metrics as an intermediary layer between the physical network topology and the redundancy assessment. These metrics serve as mediators that translate raw network parameters (bandwidth, node capacity, link quality) into a standardized measure that can be used to evaluate service redundancy accurately.
2Reliability
If public safety networks maintain high coverage redundancy to remain functional during infrastructure failures, then network reliability is improved, but capital and operating expenditures increase
Solution Approach 1:
The patent enables networks to implement partial redundancy strategies by identifying critical nodes and paths that require backup coverage. Instead of uniformly deploying redundancy across the entire network, the system calculates which areas need protection and allocates resources accordingly, achieving adequate reliability with reduced resource consumption.
Solution Approach 2:
The patent applies different redundancy levels to different geographic areas or network segments based on their specific requirements. High-priority areas such as public safety zones receive enhanced redundancy protection, while lower-priority commercial areas can operate with minimal redundancy, optimizing the overall resource allocation across the network.
3Quantity of substance
If commercial networks minimize redundancy to limit capital and operating expenditures, then cost is reduced, but coverage reliability during failures decreases
Solution Approach 1:
The patent implements a feedback mechanism that continuously monitors network conditions, node capacities, and path availability. Based on this feedback, the system dynamically adjusts redundancy allocation and can identify when existing resources provide sufficient coverage, allowing commercial networks to minimize infrastructure while maintaining adequate service levels.
Data Source
AI summary
A method for calculating service redundancy of a wireless network is provided. The method comprises determining one or more of a plurality of routes through which a node can communicate to reach a destination. A routing metric is calculated for each of the plurality of routes. Using the calculated routing metrics a route having a best routing metric is identified as a best route to the destination. Service redundancy for each node within the wireless network is calculated using a sum of weighted ratios of the best routing metric to at least one alternate routing metric.


