Ad-hoc Network Routing via Deep Learning Node Selection
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Solution Overview
Problem
Existing communication networks, particularly in remote and rural areas, face challenges due to reliance on centralized, costly infrastructure which is vulnerable to disasters and inaccessible to half of the world's population, limiting internet access and communication during emergencies.
Innovation Solution
A system utilizing deep learning algorithms to select moving nodes, such as vehicles, to route delay-tolerant communication messages through ad-hoc networking, creating a decentralized communication network that connects devices without internet access, leveraging existing hardware like smartphones and Wi-Fi, to form a social community and relay messages efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized infrastructure networks (fixed, mobile, satellite) are used to provide communication services, then coverage and quality of service are improved, but cost and vulnerability to disasters increase
Solution Approach 1:
The patent segments the centralized communication infrastructure into distributed ad-hoc network nodes formed by mobile devices. Instead of relying on a single centralized infrastructure, the system divides communication functionality across multiple user devices that form dynamic mesh networks, thereby reducing vulnerability to single-point failures while maintaining communication coverage.
Solution Approach 2:
The patent introduces delay-tolerant networking protocols as an intermediary layer between applications and physical network interfaces. This mediator handles the complexity of intermittent connectivity, routing, and message forwarding, allowing simple mobile devices to participate in robust decentralized communication without requiring complex infrastructure.
2Area of stationary object
If centralized infrastructure networks are deployed to reach broader geographies, then communication coverage is improved, but affordability and accessibility deteriorate
Solution Approach 1:
The patent enables mobile devices to autonomously form ad-hoc networks and provide communication services without requiring expensive centralized infrastructure deployment. Each device serves itself and others in the network, creating coverage in remote areas using only existing consumer hardware, thereby making communication accessible and affordable.
Solution Approach 2:
The patent makes standard mobile devices multi-functional by enabling them to act as routers, end nodes, and network administrators simultaneously. This universality allows existing smartphones and tablets to provide communication coverage in diverse geographic areas without requiring specialized infrastructure, improving accessibility while expanding coverage.
3Ease of operation
If ad-hoc networks are used for decentralized communication, then accessibility and cost are improved, but network range and quality of communication deteriorate
Solution Approach 1:
The patent combines multiple short-range wireless connections into an extended ad-hoc network spanning large geographic areas. By merging communication capabilities across many mobile devices, the system achieves long-range communication without requiring expensive infrastructure, maintaining accessibility while expanding effective communication range through multi-hop routing.
4Device complexity
If existing mobile devices are used to form ad-hoc networks, then infrastructure cost is reduced, but message routing efficiency and delivery reliability deteriorate
Solution Approach 1:
The patent implements feedback mechanisms where mobile devices report their location, mobility patterns, and network status to the delay-tolerant networking layer. This feedback enables the system to dynamically optimize message routing decisions, selecting carriers with high probability of reaching destinations, thereby improving delivery efficiency and reliability without requiring expensive infrastructure.
Data Source
AI summary
The invention provides a method and system for routing delay-tolerant communication messages to a destination device. The method and system creates an ad-hoc communication network for transmitting and/or receiving a delay-tolerant communication message by clustering a plurality of devices to form a social community. The delay-tolerant communication message received from a device connected to an ad-hoc hotspot is transmitted to the destination device using one or more moving subscribers/nodes. The method and system selects the one or more moving subscribers/nodes using a deep learning algorithm based on an MRC feature of the one or more moving subscribers/nodes, and transmits the delay-tolerant communication message from a device in the social community to the selected one or more moving subscribers/nodes. The delay-tolerant communication message is then relayed/forwarded to the destination device via the one or more moving subscribers/nodes either directly or via hand-off from one moving subscriber/node to another moving subscriber/node.