Derivative works — US Patent 9182231

Of course. Here is a Defensive Disclosure document for U.S. Patent No. 9,182,231, generating novel variations to place them in the public domain and potentially render future incremental improvements obvious.

Defensive Disclosure: Hierarchical Wireless Sensor Networks for Asset Management

Publication Date: April 30, 2026

Abstract: This document discloses several novel methods, systems, and variations related to hierarchical wireless sensor networks for tracking, monitoring, and managing assets. These disclosures expand upon the concepts of using master nodes and subordinate ID nodes for logistics and other applications by introducing new materials, components, operational parameters, cross-domain applications, and integrations with emerging technologies. The purpose of this disclosure is to place these concepts into the public domain to serve as prior art.

Claim 1 & 12: Method for Creating a Hierarchical Sensor Network

Core Concept: A method where a server associates a mobile master node with a first package and an ID node with a second package. The master node communicates with the server via a first communication path (e.g., cellular/Wi-Fi), while the ID node communicates with the master node via a second, shorter-range path (e.g., Bluetooth). The hierarchical network is formed when the server associates the master and ID nodes.

Derivative Variations:

1. Material & Component Substitution

Enabling Description: The ID node is constructed from a biodegradable polymer, such as polylactic acid (PLA), infused with conductive graphene traces to form the antenna. The entire device is designed for single-use applications and environmentally friendly disposal. The power source is a thin-film, printed zinc-manganese dioxide battery, providing a limited but sufficient operational life for a single shipment. The master node, designed for re-use, is housed in a ruggedized, IP68-rated casing made of a polycarbonate/ABS blend with integrated shock-absorbing silicone bumpers, using a lithium-polymer (LiPo) battery with an integrated solar-recharging film on its surface. Communication between the ID node and master node is achieved using near-field magnetic induction (NFMI), which offers extremely low power consumption and high security against eavesdropping due to its very short range (<30cm), making it suitable for densely packed pallets where RF interference is a concern.

Mermaid.js Diagram:

graph TD;
    A[Server] -- Cellular/Satellite --> B(Ruggedized Master Node);
    B -- Near-Field Magnetic Induction (NFMI) --> C(Biodegradable ID Node);
    B -- Contains --> D[Polycarbonate/ABS Casing];
    B -- Contains --> E[LiPo Battery + Solar Film];
    C -- Contains --> F[Printed Zn-MnO2 Battery];
    C -- Contains --> G[PLA & Graphene Casing/Antenna];

2. Operational Parameter Expansion

Enabling Description: The hierarchical network is adapted for monitoring assets in cryogenic logistics (-80°C to -150°C), such as for vaccine or biological sample transport. The ID nodes utilize specialized low-temperature co-fired ceramic (LTCC) substrates for their circuitry and are powered by lithium-thionyl chloride (Li-SOCl2) batteries, which maintain performance in extreme cold. The master node, located on the exterior of the cryogenic container, uses a wired thermocouple probe that passes through a vacuum-sealed port to monitor the internal environment without compromising thermal insulation. The master node communicates with the ID nodes via ultra-low-power sub-GHz radio (e.g., LoRaWAN) to achieve better signal penetration through the insulated container walls. The server's logic is adapted to monitor for temperature ramps and deviations from a cryogenic thermal profile, triggering alerts if the rate of temperature change exceeds a predefined threshold.

Mermaid.js Diagram:

sequenceDiagram
    participant IDN as ID Node (-150°C)
    participant MN as Master Node (Ambient)
    participant S as Server
    IDN->>MN: Sub-GHz Packet (Temp: -148°C, ID: XYZ)
    Note over MN: Reads temp via wired probe
    MN->>S: Cellular Uplink (Data: ID XYZ, Temp -148°C)
    S->>MN: Acknowledge/New Config
    Note left of S: Log data, check vs. cryogenic profile

3. Cross-Domain Application: Agriculture Technology (AgriTech)

Enabling Description: The system is applied to monitor a herd of livestock in a large, open-range environment. Each animal is fitted with a durable, biocompatible silicone-encased ID node in the form of an ear tag. These ID nodes contain a GPS receiver, an accelerometer to detect motion patterns (e.g., grazing, resting, distress), and a body temperature sensor. A mobile master node is mounted on an autonomous drone that periodically flies a pre-programmed path over the grazing area. As the drone flies, its master node establishes short-range Bluetooth 5 (with mesh capability) connections with the ID nodes within its range, collecting batches of location and health data. The drone's master node then uploads this aggregated data to the server via a satellite communication link when cellular service is unavailable. The server processes this data to create a real-time health and location map of the entire herd.

Mermaid.js Diagram:

graph TD
    subgraph Herd
        A(Cow 1 - ID Node 1);
        B(Cow 2 - ID Node 2);
        C(Cow N - ID Node N);
    end
    D[Drone with Master Node] -- Bluetooth Mesh --> A;
    D -- Bluetooth Mesh --> B;
    D -- Bluetooth Mesh --> C;
    D -- Satellite Uplink --> E[Cloud Server];
    E -- Web/Mobile App --> F(Rancher);
    A -- Senses --> G{GPS Data};
    A -- Senses --> H{Activity Data};

4. Integration with Emerging Tech: Blockchain & AI

Enabling Description: For high-value or regulated supply chains (e.g., pharmaceuticals, art), the system is integrated with a permissioned blockchain. The server acts as an orchestrator, writing validated transactions to the distributed ledger. Each ID node is provisioned with a unique cryptographic key. When an ID node associates with a new master node (e.g., at a handoff point between carriers), the master node generates a "custody transfer" transaction. This transaction, containing the timestamp, GPS location, and ID node's sensor data (e.g., temperature, shock), is signed by the master node's private key and broadcast to the server. The server validates the transaction and commits it to the blockchain, creating an immutable, auditable record of the package's journey and condition. An AI on the server analyzes the stream of data from all master nodes to predict potential network-wide delays or risks, re-routing shipments proactively by sending updated instructions to the relevant master nodes.

Mermaid.js Diagram:

sequenceDiagram
    participant ID_Node
    participant Master_Node
    participant Server_AI
    participant Blockchain_Ledger

    ID_Node->>Master_Node: Report Sensor Data
    Master_Node->>Server_AI: Forward Data Packet
    Server_AI->>Blockchain_Ledger: Create & Sign Transaction (Timestamp, GPS, Data)
    Blockchain_Ledger-->>Server_AI: Transaction Confirmed
    Server_AI->>Server_AI: Analyze Network-wide Data for Anomalies
    Server_AI-->>Master_Node: Issue Corrective Instructions (e.g., alert, re-route)

5. The "Inverse" or Failure Mode: Decoupled Emergency Beacon Mode

Enabling Description: The ID node is programmed with a "lost package" protocol. It maintains a heartbeat connection with its associated master node. If this connection is lost for a predefined period (e.g., 60 minutes), the ID node enters an emergency mode. In this mode, it ceases all non-essential sensing to conserve power and begins broadcasting a simplified, high-power distress signal using its short-range radio. This signal, containing only its unique ID, is designed to be detected by any nearby master node, not just its last associated one. Any master node in the network that detects this distress signal immediately relays the signal's strength (RSSI), the ID node's identifier, and the master node's own current GPS location to the server with a high-priority "lost asset" flag. This allows for crowd-sourced location of lost packages, even if they are far from their intended route.

Mermaid.js Diagram:

stateDiagram-v2
    [*] --> Paired
    Paired --> Lost_Contact: Timeout
    Lost_Contact --> Paired: Master Found
    Lost_Contact: Enter Emergency Beacon Mode
    Lost_Contact --> Beaconing: Start
    Beaconing: Broadcast Distress Signal
    Beaconing --> Paired: Master Acknowledges
    state Beaconing {
        [*] --> Transmit_ID
        Transmit_ID --> Deep_Sleep
        Deep_Sleep --> Transmit_ID : Wake on Timer
    }

Claim 15: Hierarchical Sensor System

Core Concept: A system comprising a mobile master node associated with one package and multiple ID nodes associated with other packages. The ID nodes have sensors and report "shipment condition information" to the master node, which in turn reports "summary shipment condition information" to a server.

Derivative Variations:

1. Material & Component Substitution

Enabling Description: The system is implemented using System-on-a-Chip (SoC) components for both master and ID nodes to minimize size and power consumption. The ID node utilizes a Nordic nRF52 series SoC, which integrates a multi-protocol Bluetooth Low Energy (BLE) radio and an ARM Cortex-M4 processor. The master node uses a more powerful SoC like the ESP32, which includes Wi-Fi, Bluetooth, and sufficient processing power to manage multiple ID nodes and perform on-board data aggregation. For the "summary shipment condition information," the ESP32 on the master node executes a lightweight machine learning model (e.g., a pre-trained neural network using TensorFlow Lite for Microcontrollers) to analyze raw sensor data from multiple ID nodes (e.g., vibration, temperature, humidity). Instead of sending all raw data, it only transmits key derived insights, such as "probable drop event" or "sustained high-humidity warning," along with summary statistics (min/max/avg temperature). This significantly reduces cellular data costs.

Mermaid.js Diagram:

graph TD
    subgraph Grouped_Packages
        A[ID Node 1: nRF52] --BLE--> M;
        B[ID Node 2: nRF52] --BLE--> M;
        C[ID Node N: nRF52] --BLE--> M;
    end

    subgraph Master_Package
        M(Master Node: ESP32)
    end

    M --Wi-Fi/Cellular--> S[Server];
    A -- Raw Sensor Data --> M;
    B -- Raw Sensor Data --> M;
    M --> |On-board AI/ML| D{Analyzed/Summarized Data};
    D --> S;

2. Operational Parameter Expansion

Enabling Description: The system is scaled for monitoring intermodal shipping containers. The master node is a ruggedized unit mounted to the container's exterior, powered by a large battery pack and a solar panel. It communicates with hundreds of ID nodes within the container via a Wireless-HART mesh network, chosen for its robustness in high-density metal environments. Each ID node, placed on an individual pallet or carton, monitors for shock events exceeding a specified G-force, temperature, and humidity. The master node aggregates this data, creating a 3D map of conditions inside the container. It reports only the highest G-force event, the average/min/max temperature, and the number of ID nodes reporting out-of-spec conditions to the server. This reduces the data payload for satellite or cellular transmission from a container ship in the middle of the ocean.

Mermaid.js Diagram:

graph TD
    subgraph Shipping_Container
        M(Master Node - External)
        subgraph Pallet_1
            ID1(ID Node)
            ID2(ID Node)
        end
        subgraph Pallet_2
            ID3(ID Node)
            ID4(IDNode)
        end
        M -- Wireless-HART Mesh --> ID1
        M -- Wireless-HART Mesh --> ID2
        M -- Wireless-HART Mesh --> ID3
        M -- Wireless-HART Mesh --> ID4
    end
    M -- Satellite --> S(Logistics Server)
    S --> U(User Interface)
    M -->|Aggregates & Summarizes| S

3. Cross-Domain Application: Smart Buildings / Facilities Management

Enabling Description: The hierarchical network is deployed within a large office building or factory. ID nodes are small, battery-powered sensors monitoring environmental conditions (temperature, CO2, light levels) or asset status (e.g., a vibration sensor on a motor to predict failure, a contact switch on a fire door). Master nodes are integrated into existing infrastructure like Wi-Fi access points or smart lighting fixtures. These masters use their existing network backhaul to report to a central building management server. The master node polls its local cluster of ID nodes via Zigbee or Thread protocols. It summarizes the data, for example, reporting the average CO2 level for a specific floor or an alert if any fire door is ajar, rather than streaming raw data from every single sensor. This conserves network bandwidth and simplifies data processing at the server.

Mermaid.js Diagram:

sequenceDiagram
    participant "Sensor ID Node (CO2)"
    participant "Motor ID Node (Vibration)"
    participant "Master Node (in AP)"
    participant "Building Mgmt Server"

    loop Every 5 minutes
        Master Node->>Sensor ID Node (CO2): Poll Data
        Sensor ID Node (CO2)-->>Master Node: 850 ppm
        Master Node->>Motor ID Node (Vibration): Poll Data
        Motor ID Node (Vibration)-->>Master Node: FFT Signature
    end

    Master Node->>Master Node: Analyze & Aggregate Data
    Master Node->>Building Mgmt Server: Report: {Zone: '3A', AvgCO2: 855, MotorStatus: 'OK'}

4. Integration with Emerging Tech: Autonomous Vehicle Integration

Enabling Description: The master node is integrated directly into the telematics and control unit of an autonomous delivery vehicle (ADV). ID nodes are placed on packages within the ADV's cargo hold. As the ADV travels, its integrated master node continuously monitors the status of all ID nodes. If an ID node reports a critical event (e.g., a package containing fragile glassware reports a high-G shock event), the master node communicates this directly to the ADV's navigation and control system. The ADV can then autonomously decide to adjust its driving style (e.g., reduce speed, take smoother corners) to prevent further damage. It also reports the incident and the change in driving behavior to the central server for logging and analysis.

Mermaid.js Diagram:

graph LR
    subgraph AutonomousDeliveryVehicle
        MN[Master Node]
        TCU[Telematics Control Unit]
        NAV[Navigation & Drive System]
        MN --"BLE/NFC"--> P1(Package/ID Node 1)
        MN --"BLE/NFC"--> P2(Package/ID Node 2)
        P1 -- "Shock > 5g" --> MN
        MN -- "Alert: High G-force" --> TCU
        TCU -- "Adjust Route/Speed" --> NAV
        TCU -- "Report Incident" --> S(Server)
    end
    S <--> Cloud

5. The "Inverse" or Failure Mode: Master Node Handoff Protocol

Enabling Description: In a scenario where multiple master nodes are present (e.g., on different forklifts in a warehouse), the system supports a "graceful handoff" protocol to ensure continuous monitoring even if a master node fails or moves out of range. Each ID node periodically broadcasts a low-power "I'm here" advertisement. All master nodes within range listen for these advertisements. The server designates one master node as the "Primary Master" for a given ID node based on signal strength (RSSI) and other factors (e.g., vehicle heading). If the primary master fails or moves away, the server (or a designated secondary master in a decentralized model) detects the loss of communication. It then instructs the master node with the next-best RSSI to take over as the primary, ensuring the data stream from the ID node is not interrupted. This prevents a single point of failure and allows for seamless tracking as packages are moved between different zones or vehicles.

Mermaid.js Diagram:

stateDiagram-v2
    state "Managed by Master A" as A
    state "Unmanaged" as U
    state "Managed by Master B" as B

    [*] --> A: Initial Association
    A --> U: Master A out of range
    U --> B: Master B has best RSSI
    B --> U: Master B out of range
    U --> A: Master A has best RSSI

Combination with Open-Source Standards

System with LoRaWAN and The Things Network:
- Description: The hierarchical network is implemented using the open LoRaWAN protocol. The ID nodes are Class A LoRaWAN end devices, designed for extreme low-power operation. They wake up on a timer or sensor event, transmit a small data packet (e.g., temperature, GPS coordinates if available), and then return to a deep sleep mode. The master nodes act as LoRaWAN gateways, which are connected to a public or private instance of The Things Network (TTN), an open-source, community-driven LoRaWAN network server. The 'server' in the '231 patent is replaced by the TTN Application Server, which decodes the payloads and forwards them via MQTT or HTTP webhooks to the end-user's application platform. This leverages a global, open-source infrastructure for the long-range communication link, drastically reducing a key cost component.
- Mermaid Diagram:
```
graph TD
    subgraph "Packages"
        ID1[ID Node 1 (LoRa)]
        ID2[ID Node 2 (LoRa)]
    end
    subgraph "Gateway (Master Node)"
        G1[LoRaWAN Gateway]
    end
    ID1 -- LoRaWAN --> G1
    ID2 -- LoRaWAN --> G1
    G1 -- Internet/Cellular --> TTI[The Things Stack (Server)]
    TTI -- MQTT/Webhook --> App[User Application]
```
System with RIOT-OS and 6LoWPAN:
- Description: Both the ID nodes and master nodes run RIOT-OS, a real-time operating system for IoT devices. Communication between nodes is handled via the 6LoWPAN protocol over an IEEE 802.15.4 radio, allowing each node to have its own unique IPv6 address. The ID nodes form a mesh network, relaying data for out-of-range nodes. The master node acts as the border router for this 6LoWPAN mesh, bridging the low-power wireless network to the main internet (via Wi-Fi or Cellular) using standard IPv6 routing protocols. This enables direct, end-to-end IP-based communication with each ID node through the master, while still benefiting from the power efficiency of 802.15.4. The server can address any specific package's ID node directly, requesting real-time data or pushing firmware updates.
- Mermaid Diagram:
```
graph TD
    subgraph "6LoWPAN Mesh Network (RIOT-OS)"
        ID1[ID Node 1]
        ID2[ID Node 2]
        ID3[ID Node 3]
    end
    Master[Master Node (Border Router)]
    Server[Application Server]

    ID1 <--> ID2
    ID2 <--> ID3
    ID3 --- Master
    Master -- IPv4/IPv6 --> Server
    Server -- "Request for ID1 Data" --> Master
    Master -- "Routes to ID1" --> ID3
    ID3 -- "Routes to ID2" --> ID2
    ID2 -- "Routes to ID1" --> ID1
```
System with Open-Source Robotics and ROS (Robot Operating System):
- Description: This system integrates the patented hierarchical sensor network with an autonomous warehouse robot (e.g., a TurtleBot or custom AGV) running the Robot Operating System (ROS). The ID nodes on packages broadcast their identity and status via Bluetooth Low Energy (BLE) advertisements. The robot, acting as a mobile master node, is equipped with a BLE scanner and a ROS node that subscribes to sensor data. As the robot navigates the warehouse, it discovers nearby ID nodes, logs their location relative to its own mapped position, and checks their status. This data is published on ROS topics. A separate ROS node on the robot bridges this data to a central logistics server via MQTT. This allows the robot to perform autonomous tasks, such as locating a specific package (by moving towards its BLE signal) or flagging a damaged package for a human operator, all within the standard, interoperable ROS framework.
- Mermaid Diagram:
```
sequenceDiagram
    participant P as Package (ID Node)
    participant R as Robot (Master Node)
    participant ROS_Core
    participant Server

    loop Every Second
        P->>R: BLE Advertisement (UUID, Status)
    end

    R->>ROS_Core: Publish /package_detections
    ROS_Core->>R: /cmd_vel (Navigation Commands)

    alt Package Found
        R->>ROS_Core: Publish /found_package (ID, Location)
        ROS_Core->>Server: MQTT: package/found
    end
```