Vehicle Ad Hoc Network Sizing for Bandwidth-Aware Navigation

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Solution Overview

Problem

Existing routing and navigation systems face challenges due to limited wireless network coverage and bandwidth, as well as increased computing requirements for autonomous vehicles, leading to inefficiencies in traffic management and vehicle operation.

Innovation Solution

The implementation of ad hoc communication and data sharing networks, such as vehicle-to-vehicle (V2V) networks, which allow vehicles to share data and resources wirelessly, reducing the reliance on central cloud networks and optimizing processing and communication resources.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If vehicles rely on central cloud networks for routing and navigation, then comprehensive data processing can be achieved, but wireless network coverage and bandwidth limitations cause traffic congestion and inefficiency

Engineering Contradiction:
Improverouting efficiencyVSAvoidnetwork bandwidth
Core Design Contradiction:
ProductivityVSQuantity of substance

Solution Approach 1:

The patent segments the centralized cloud network into distributed ad hoc networks among vehicles. Each vehicle maintains local routing information and shares data directly with nearby vehicles, dividing the monolithic network into smaller autonomous segments that operate independently, thereby reducing congestion on central network infrastructure.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent merges multiple vehicles into ad hoc network clusters where they collectively share routing data and computational resources. By combining the networking capabilities of individual vehicles into a distributed mesh network, the system achieves enhanced bandwidth and reduced dependency on central cloud infrastructure.

Inventive Principle:
Principle #5Merging (Combining)

2Reliability

If autonomous vehicles increase computing capabilities for advanced processing, then better autonomous driving performance is achieved, but processing requirements and energy consumption increase

Engineering Contradiction:
Improveautonomous driving performanceVSAvoidvehicle processing energy
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent enables vehicles to serve themselves by maintaining local routing tables and making autonomous routing decisions based on shared ad hoc network data. Each vehicle independently processes routing information and makes navigation decisions without requiring intensive cloud-based computing, reducing onboard processing energy consumption while maintaining autonomous driving capabilities.

Inventive Principle:
Principle #25Self-service

3Quantity of substance

If ad hoc networks are used for data sharing, then network coverage and bandwidth are enhanced, but network complexity and management difficulty increase

Engineering Contradiction:
Improvenetwork bandwidthVSAvoidnetwork management complexity
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

The patent implements universal routing protocols that enable vehicles to simultaneously participate in ad hoc networking, routing data sharing, and autonomous navigation. The same communication infrastructure serves multiple functions including vehicle-to-vehicle data exchange, routing information propagation, and collaborative awareness, reducing the need for separate specialized systems.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250031012A1Dynamic ad hoc network adjustment
Publication Date: 2025.01.23 MICRON TECHNOLOGY INC
  • US20250031012A1 patent drawing
  • US20250031012A1 patent drawing
  • US20250031012A1 patent drawing

AI summary

Systems and methods for adjusting a dynamic ad hoc network of a vehicle are disclosed including determining a classification and a confidence indication for the determined classification using information from at least one sensor of the vehicle, determining a size of the dynamic ad hoc network for the vehicle based on the determined confidence indication, receiving navigation or safety information from one or more other vehicles in the dynamic ad hoc network, and determining one or more additional control inputs to the vehicle based at least in part on the received navigation or safety information from one or more other vehicles in the dynamic ad hoc network.