Layer-2 Hop-by-Hop Routing for Utility Wireless Networks
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Solution Overview
Problem
Existing network protocols for utility services, such as those used in Automated Meter Reading (AMR) systems, face challenges in efficiently managing large numbers of fixed wireless nodes with high bandwidth utilization and scalability issues, particularly in densely packed environments, due to the need for extensive routing tables and frequent route rediscoveries.
Innovation Solution
A network protocol that uses a Layer-2 based hop-by-hop intelligent routing scheme with pre-assessed link cost metrics, eliminating the need for extensive routing tables and reducing overhead, and incorporating IPv6 end-to-end packet architecture for efficient data transfer in utility networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional routing protocols are used in densely packed wireless utility networks, then routing information can be maintained, but bandwidth overhead increases and scalability deteriorates due to extensive routing tables and frequent route rediscoveries
Solution Approach 1:
The patent extracts routing decisions from complex centralized routing tables and distributes them to individual nodes based on local signal strength measurements. Each node independently determines optimal gateways using simple RSSI comparisons rather than maintaining extensive routing information, eliminating the need for large routing tables while preserving reliable connectivity
Solution Approach 2:
Nodes perform self-service routing by autonomously measuring signal strength from multiple gateways and selecting the optimal gateway without centralized control or extensive routing table lookups. This self-directed approach reduces bandwidth overhead from route rediscoveries while maintaining reliable routing through local intelligence
2Reliability
If frequent route rediscoveries are performed to maintain optimal routing, then routing reliability improves, but bandwidth overhead increases due to repeated routing updates
Solution Approach 1:
Instead of frequent continuous route rediscoveries, the patent implements periodic gateway selection based on signal strength measurements. Nodes periodically evaluate available gateways and switch when improvement exceeds a threshold, reducing bandwidth overhead from routing updates while maintaining routing optimality through controlled periodic reassessment
Solution Approach 2:
The system uses feedback from signal strength measurements to trigger route changes only when necessary. Nodes monitor RSSI from gateways and initiate route rediscovery only when signal conditions change significantly, eliminating unnecessary routing updates and reducing bandwidth overhead while preserving routing reliability
3Ease of operation
If centralized routing control is used, then routing management is simplified, but scalability deteriorates in networks with very large numbers of densely packed nodes
Solution Approach 1:
The patent segments routing decisions from centralized control and distributes them to individual nodes. Each node independently manages its own gateway selection based on local measurements, eliminating the scalability bottleneck of centralized routing tables while maintaining simplified operation through standardized local decision-making procedures
Solution Approach 2:
The patent transitions from centralized two-dimensional routing table management to distributed three-dimensional routing where nodes operate autonomously in local decision space. This dimensional shift allows scalability to large numbers of densely packed nodes while maintaining ease of operation through standardized local gateway selection algorithms
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution provides a scalable and efficient routing protocol that minimizes link costs, reduces bandwidth overhead, and ensures reliable communication in densely packed wireless utility networks, enhancing the performance of utility meter reading and control systems.
Implementation Method 1
determines whether a measured real signal strength differs from a an accepted real signal strength
Data Source
AI summary
A method and system for providing a network protocol for utility services are disclosed are disclosed. In one embodiment, a computer-implemented method determines whether a measured real signal strength differs from a an accepted real signal strength by a configurable control limit parameter. In the event the measured real signal strength exceeds either an upper or lower bound based upon the configurable control limit parameter a determination is made whether there has been an unacceptable number of measured real signal strengths that exceed either an upper or lower bound based upon the configurable control limit parameter. In the event there has been an unacceptable number of measured real signal strengths that exceed either an upper or lower bound, which may include reaching or exceeding a configurable out of bound incidence limit, then a determination is made to calculate a new accepted real signal strength.