Self-organizing sensor node network

• US 20060253570A1
• Filed: 01/24/2006
• Published: 11/09/2006
• Est. Priority Date: 01/25/2005
• Status: Abandoned Application

• Current Assignee: Duke University, Penn State Research Foundation, Wisconsin Alumni Research Foundation (University of Wisconsin System)
• Original Assignee: Duke University
• Inventors: Zou, Yi, Biswas, Pratik, Tong, Lun, Sundaram, Niveditha, Chakrabarty, Krishnendu, Kesidis, George, Phoha, Shashi, Ramanathan, Parameswaran
• Application Number:
  US11/338,569
• Publication Number:
  US 20060253570A1
• Time in Patent Office: Days
• US Class Current: 709/224
• CPC Class Codes: H04L 41/0816 the condition being an adaptation, e.g. in response to network events
• CPC Class Codes: H04L 41/0833 for reduction of network energy consumption
• CPC Class Codes: H04L 41/0853 by actively collecting configuration information or by backing up configuration information
• CPC Class Codes: H04L 41/12 Discovery or management of network topologies
• 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: H04W 16/18 Network planning tools
• CPC Class Codes: H04W 4/38 for collecting sensor information
• CPC Class Codes: H04W 4/50 Service provisioning or reconfiguring
• CPC Class Codes: H04W 84/18 Self-organising networks, e.g. ad-hoc networks or sensor networks
• CPC Class Codes: Y02D 30/70 in wireless communication networks

Abstract

An improved network of sensor nodes can self-organize so as to reduce energy consumption and/or improve coverage of a surveillance field. Nodes within the network may be dynamically activated or deactivated so as to lengthen network lifetime and/or enhance sensor coverage of the surveillance field.

Claims

1. A method of monitoring a surveillance field, the method comprising:

deploying sensor nodes into the surveillance field;

creating a sensor network using the sensor nodes;

establishing a node location for each sensor node;

establishing a node coverage for each sensor node, the node coverage being a portion of the surveillance field monitored by each sensor node;

determining an initial surveillance field coverage from the node coverages; and

disabling sensor nodes to reduce overlap between node coverages, to provide a final surveillance field coverage for the monitoring of the surveillance field,

the final surveillance field coverage having a lower power requirement than the initial surveillance field coverage.

2. The method of claim 1, wherein determining the initial surveillance field coverage comprises:

dividing the surveillance field into portions; and

determining a number of sensor nodes in each portion.

3. The method of claim 2, wherein the portions are grid squares within the surveillance field.

4. The method of claim 2, wherein the final surveillance field coverage includes at least one sensor node in each portion.

5. The method of claim 2, wherein the final surveillance field coverage includes at least two sensor nodes in each portion.

6. The method of claim 1, wherein the surveillance field includes a predetermined track for a target object through the surveillance field,

wherein the final surveillance field coverage includes node coverage of most of the predetermined track.

7. The method of claim 6, wherein the final surveillance field coverage includes node coverage of substantially all of the predetermined track.

8. The method of claim 1, wherein the sensor nodes include mobile nodes, and creating the sensor node network further includes movement of the mobile nodes to reduce a communication energy requirements of the sensor network.

9. The method of claim 1, wherein the sensor nodes include GPS nodes having a global positioning system, and establishing a node location for each sensor node comprises:

determining absolute locations for the GPS nodes; and

determining relative locations for other sensor nodes, relative to the absolute locations.

10. The method of claim 1, wherein monitoring the surveillance field includes tracking a target object through the surveillance field,

the sensor nodes include acoustic sensor nodes responsive to vibrations produced by the target object.

11. The method of claim 10, further comprising activating disabled sensor nodes proximate to the target object when the target object is detected, so as to provide a node cluster proximate to the target object.

12. The method of claim 11, wherein the node cluster includes a node head, the node head collecting data from the node cluster.

13. The method of claim 11, wherein the node cluster moves with the target object.

14. A monitoring system for monitoring a surveillance field, the system comprising:

sensor nodes distributed over the surveillance field, the sensor nodes being in wireless communication with each other and forming a sensor network,

a first sub-set of the sensor nodes having a global positioning capability, the remaining sensor nodes determining their location relative to the first sub-set,

the sensor network dynamically activating and deactivating sensor nodes so as to increase sensor network lifetime while maintaining a minimum coverage of the surveillance field.

15. The system of claim 14, wherein a second subset of the sensor nodes comprise mobile nodes, the mobile nodes being moveable so as to decrease energy requirements of the sensor network.

16. The system of claim 14, wherein each sensor node includes:

a wireless communication module;

a processor; and

an acoustic sensor.

17. The system of claim 14, wherein the system is operable to track a target as the target moves across the surveillance field,

the system being operable to activate any deactivated sensor nodes proximate to the target so as to enhance tracking of the target.

18. The system of claim 17, wherein the system is further operable to establish a first cluster of nodes proximate to the target after detection of the target, the cluster collecting a first target tracking data set,

the system establishing a second cluster of nodes proximate to the target after movement of the target.

19. The system of claim 18, wherein each cluster of nodes has a cluster head, the cluster head being a node that coordinates collection of tracking data.

20. A monitoring system for monitoring a surveillance field, the system comprising:

sensor nodes distributed over the surveillance field, the sensor nodes being in wireless communication with each other and forming a sensor network,

a minority of the sensor nodes being mobile nodes,

the sensor network being self-organizing through movement of the mobile nodes so as to decrease energy requirements of the sensor network.