Line-of-Sight Network Node Placement Algorithm
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Solution Overview
Problem
Remote communities lack affordable and feasible methods for accessing network connectivity due to geographic and economic limitations, which hinders their ability to participate in the global community and communicate effectively.
Innovation Solution
The deployment of line-of-sight (LOS) networks with strategically placed nodes that use a combination of GPS, barometric readings, and passive user information propagation to establish efficient communication links, allowing for the formation of a robust and economical network topology that accommodates natural and man-made obstacles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If typical delivery mechanisms (commercial network infrastructure) are used, then network connectivity can be provided, but geographic and economic limitations make them unfeasible for remote communities
Solution Approach 1:
The network is divided into small, modular nodes that can be independently deployed in remote communities. Each node operates autonomously and can form connections with neighboring nodes, allowing the network to be built incrementally without requiring extensive infrastructure in each location.
Solution Approach 2:
The patent transitions from traditional ground-based infrastructure to aerial deployment using balloons and airships. This dimensional change allows networks to be established in geographically challenging areas where terrestrial infrastructure is impractical or prohibitively expensive.
2Reliability
If high-bandwidth routers and access points from commercial conglomerates are introduced, then network access can be provided, but communities lack the financial resources to support them
Solution Approach 1:
The network nodes are designed to be self-configuring and self-managing. They automatically discover neighboring nodes, establish connections, and route traffic without requiring expensive commercial equipment or specialized technical support infrastructure.
Solution Approach 2:
The patent employs low-cost, simple nodes that can be deployed economically in remote communities. These nodes use basic communication protocols and minimal hardware, making them financially sustainable for communities with limited resources.
3Adaptability or versatility
If line-of-sight communication is used to overcome geographic limitations, then network deployment becomes feasible in remote areas, but precise node placement and alignment are required
Solution Approach 1:
The system performs preliminary planning using GPS coordinates and barometric altitude data to determine optimal node placements before deployment. This pre-planning reduces the complexity of field deployment by establishing connection paths in advance.
Solution Approach 2:
The patent uses GPS and barometric sensors as intermediary tools to facilitate node alignment. These sensors provide automated positioning and orientation data, eliminating the need for complex manual alignment procedures.
4Measurement precision
If GPS and barometric readings are used for node alignment, then accurate positioning is achieved, but the system complexity increases
Solution Approach 1:
The nodes use multi-functional integrated circuits that combine GPS reception, barometric sensing, and communication capabilities in single components. This reduces overall system complexity while maintaining high positioning accuracy.
Solution Approach 2:
The alignment system operates autonomously using self-contained GPS and barometric sensors on each node. Nodes automatically determine their position and orientation without requiring external alignment infrastructure or complex control systems.
Data Source
AI summary
Various of the disclosed embodiments relate to line-of-sight (LOS), e.g., optical, based networks. Systems and methods for determining where to place and how to configure nodes in an optically connected network across a geographic region are provided. Various factors concerning the region may be collected, including, e.g., building locations and height, building types, population densities, backbone connection locations, recurring weather factors, geographic elevation, etc. The algorithm may iteratively place nodes based upon the accessible range of a preceding contemplated node position.