Data Compression and Encryption in Sensor Networks

• US 20140223010A1
• Filed: 02/01/2013
• Published: 08/07/2014
• Est. Priority Date: 02/01/2013
• Status: Abandoned Application

• Current Assignee: David Alan Hayner
• Original Assignee: David Alan Hayner
• Inventors: Hayner, David Alan
• Application Number:
  US13/757,150
• Publication Number:
  US 20140223010A1
• Time in Patent Office: Days
• US Class Current: 709/226
• CPC Class Codes: H04L 47/783 Distributed allocation of resources, e.g. bandwidth brokers
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 69/04 Protocols for data compression, e.g. ROHC

Abstract

Apparatus and methods for the collection, processing, storage, communication and use of data generated by an array of sensors connected to some physical structure in which bandwidth allocation methods are used in response to known and predictable propagation of signal events through the network. Use of these data allocation methods further enable the efficient use of data compression and encryption techniques.

Claims

1. A data acquisition and processing system integrated into a physical structure comprising:

at least two sensing nodes networked together in a manner enabling a digital processing system to acquire data generated by the sensing nodes and communicate results of processing this data to remote systems;

said sensing nodes incorporate one of an accelerometer, gyroscope, pressure, acoustic, temperature, magnetic, optical, torsion, tension and force measuring devices;

said sensing nodes are physically distributed on said physical structure in such a manner that said sensing nodes sample propagating mechanical waves in said physical structure; and

said sensing nodes contain processing capabilities enabling the compression of sensor data prior to communication to other sensing nodes for possibly alternate compression methods and possibly forwarded to a central processing system.

2. The data acquisition and processing system integrated into a physical structure as described in claim 1 further comprising capabilities to encrypt the data generated at each sensing node prior to communication of this data to other sensing nodes for possibly alternate encryption methods and possibly forwarded to a central processing system.

3. A data acquisition and processing system integrated into a physical structure comprising:

at least two sensing nodes networked together in a manner enabling a digital processing system to acquire data generated by the sensing nodes and communicate results of processing this data to remote systems;

said sensing nodes incorporate one of an accelerometer, gyroscope, pressure, acoustic, temperature, magnetic, optical, torsion, tension and force measuring devices;

said sensing nodes are physically distributed on said physical structure in such a manner that said sensing nodes sample propagating mechanical waves in said physical structure; and

said sensing nodes are arranged on said physical structure and networked together in manners such that a fixed data bandwidth allocation method providing specific bandwidths to specific sensing nodes can efficiently collect data without the need for dynamic allocation of communication bandwidth.

4. The data acquisition and processing system integrated into a physical structure as described in claim 3 further comprising capabilities to compress the data generated at each sensor node prior to communication of this data to other sensing nodes for possibly alternate compression methods and possibly forwarded to a central processing system.

5. The data acquisition and processing system integrated into a physical structure as described in claim 3 further comprising capabilities to encrypt the data generated at each sensor node prior to communication of this data to other sensing nodes for possibly alternate encryption methods and possibly forwarded to a central processing system.

6. A data acquisition and processing system integrated into a physical structure comprising:

at least two sensing nodes networked together in a manner enabling a digital processing system to acquire data generated by the sensing nodes and communicate results of processing this data to remote systems;

said sensing nodes incorporate one of an accelerometer, gyroscope, pressure, acoustic, temperature, magnetic, optical, torsion, tension and force measuring devices;

said sensing nodes are physically distributed on said physical structure in such a manner that said sensing nodes sample propagating mechanical waves in said physical structure; and

data processing methods to predict, based on known structural dynamics of said structure and known positions of said sensing nodes, the propagation of mechanical waves and the timing of these mechanical waves interacting with said sensing nodes, and adjusting the bandwidth allocated to various said sensor nodes in response to this propagating mechanical wave.

7. The data acquisition and processing system integrated into a physical structure as described in claim 6 further comprising capabilities to adjust the compression rates and methods performed in various said sensing nodes in response to the predicted propagation of a mechanical wave through said structure, this compressed data then forwarded to other sensing nodes for possibly alternate compression methods and possibly forwarded to a central processing system.

8. The data acquisition and processing system integrated into a physical structure as described in claim 6 further comprising capabilities to adjust the encryption methods performed in various said sensing nodes in response to the predicted propagation of a mechanical wave through said structure, this encrypted data then forwarded to other sensing nodes for possibly alternate encryption methods and possibly forwarded to a central processing system.

9. The data acquisition and processing system integrated into a physical structure as described in claim 6 further comprising capabilities to adjust the compression rates and methods and encryption methods performed in various said sensing nodes in response to the predicted propagation of a mechanical wave through said structure, this compressed and possibly encrypted data then forwarded to other sensing nodes for possibly alternate compression and alternate encryption methods and possibly forwarded to a central processing system.