Decentralized Urban Mesh WiFi Layer (DUMW-L)
Inventor: Tyrone Bostick
🔷 1. Abstract
A system and method for establishing a decentralized, AI-orchestrated wireless connectivity layer in urban environments by aggregating heterogeneous network sources—including private WiFi, public infrastructure nodes, and mobile devices—into a unified, secure, and dynamically optimized mesh network. The system enables seamless user connectivity, adaptive bandwidth allocation, and identity-based secure access across a distributed urban topology.
🔷 2. Technical Field
This invention relates to:
Wireless communication systems
Mesh networking architectures
Artificial intelligence-based network optimization
Smart city infrastructure systems
🔷 3. Background Problem
Urban areas (e.g., downtown Orlando zones around Lake Eola Park) suffer from:
Fragmented connectivity across independent networks
Lack of unified authentication across providers
Inefficient bandwidth utilization during peak events
No integration between private and public network resources
Existing mesh systems fail to:
Dynamically aggregate heterogeneous ownership networks
Provide AI-driven routing across mixed infrastructures
Enable identity-persistent roaming across decentralized nodes
🔷 4. Summary of the Invention
The DUMW-L system introduces:
Multi-source network aggregation layer
AI-driven routing and bandwidth optimization engine
Secure identity-based access framework
Urban infrastructure node deployment system
🔷 5. System Architecture
Core Layers:
Signal Acquisition Layer
Captures available WiFi, 5G, and hotspot signals
Mesh Formation Layer
Forms dynamic peer-to-peer and infrastructure-assisted mesh
AI Optimization Layer
Predicts congestion and reroutes traffic in real time
Security & Identity Layer
Provides persistent encrypted user identity
Application Interface Layer
Enables smart city, enterprise, and consumer applications
🔥 6. Patent Claims (IBM-Style)
🔹 Independent Claims
Claim 1
A system for decentralized wireless connectivity comprising:
a signal acquisition module configured to detect multiple heterogeneous wireless networks;
a mesh orchestration engine configured to combine said networks into a unified connectivity layer;
an artificial intelligence routing module configured to dynamically allocate bandwidth;
and a secure identity module configured to authenticate users across said networks.
Claim 2
The system of Claim 1, wherein the artificial intelligence routing module utilizes predictive analytics to optimize network traffic flow based on real-time and historical data.
Claim 3
A method for providing seamless connectivity comprising:
detecting multiple available wireless signals;
aggregating said signals into a virtual network;
dynamically switching user connections without session interruption.
🔹 Dependent Claims
Claim 4
The system of Claim 1, wherein the signal acquisition module includes public infrastructure nodes mounted on street fixtures.
Claim 5
The system of Claim 1, wherein private network owners opt-in to share bandwidth via encrypted partitioning.
Claim 6
The system of Claim 1, wherein the AI routing module performs load balancing across multiple frequency bands.
Claim 7
The system of Claim 1, wherein the identity module utilizes tokenized authentication credentials.
Claim 8
The system of Claim 7, wherein credentials are stored in a distributed ledger.
Claim 9
The system of Claim 1, wherein mobile devices act as temporary mesh nodes.
Claim 10
The system of Claim 1, wherein the system integrates satellite communication as fallback connectivity.
Claim 11
A system for event-based network scaling, wherein bandwidth allocation increases automatically based on detected user density.
Claim 12
The system of Claim 11, wherein density is determined via device proximity signals.
Claim 13
The system of Claim 1, further comprising a security module configured to detect unauthorized network access attempts.
Claim 14
The system of Claim 13, wherein anomalies are detected using machine learning models.
Claim 15
The system of Claim 1, wherein the mesh network operates across both licensed and unlicensed spectrum bands.
🔹 Advanced Claims (Novelty Layer)
Claim 16
A hybrid public-private network aggregation system wherein independent network owners contribute bandwidth to a shared urban mesh under controlled access policies.
Claim 17
The system of Claim 16, wherein contributors receive compensation based on bandwidth usage metrics.
Claim 18
The system of Claim 1, wherein the AI routing module predicts network congestion before occurrence.
Claim 19
The system of Claim 1, wherein user sessions persist across node transitions without reauthentication.
Claim 20
The system of Claim 1, wherein edge computing nodes process routing decisions locally.
🔹 Infrastructure Claims
Claim 21
A deployment method comprising installation of mesh nodes on urban structures including light poles, benches, and transportation systems.
Claim 22
The system of Claim 21, wherein nodes are powered by renewable energy sources.
🔹 Security Claims
Claim 23
A zero-trust network model applied to decentralized mesh systems.
Claim 24
The system of Claim 23, wherein each node verifies identity before routing data.
🔹 Expansion Claims
Claim 25
Integration with smart city systems including surveillance, traffic monitoring, and emergency response.
