Vehicles as Nodes of Wireless Sensor Networks for Information Collection & Prognostication

• US 20080287144A1
• Filed: 05/18/2007
• Published: 11/20/2008
• Est. Priority Date: 05/18/2007
• Status: Abandoned Application

• Current Assignee: Ashok Sabata, Bikash Sabata, Reshad Moussa
• Original Assignee: Ashok Sabata, Bikash Sabata, Reshad Moussa
• Inventors: Sabata, Bikash, Sabata, Ashok, Moussa, Reshad
• Application Number:
  US11/750,459
• Publication Number:
  US 20080287144A1
• Time in Patent Office: Days
• US Class Current: 455/456.6
• 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 84/18 Self-organising networks, e.g. ad-hoc networks or sensor networks

Abstract

A system and method are provided that use mobile sensor nodes for monitoring of mobile assets and one or more mobile sensor nodes have mobility that is unpredictable to a wireless network. The mobile sensor nodes collect data with the goal of monitoring the environment including weather and pollution, biological and chemical agents for security application and traffic application. The mobile sensors form local groups opportunistically to coordinate measurements and other actions. The collected sensor data will be stored locally with global positioning system (GPS) data and the time of data collected. The information can be transmitted to a remote computer opportunistically using a low cost method such as WiFi or the cell phone network. The information will be aggregated to provide environmental maps, traffic maps and maps to first responders in the event of biological nuclear or chemical calamity.

Claims

1. A method using a vehicle as a mobile sensor node comprising:

at least one mobile sensor node with a wireless communication device is independently movable, to communicate its sensor data directly to a node in a static wireless network or to exchange sensor data with another mobile sensor node when within range with the purpose of aggregating, interpreting, coordinating and communicating the data to a remote application.

2. The method of claim 1 further comprising:

deploying a plurality of said mobile sensor nodes, each having mobility that is unpredictable and at least one mobile sensor node determining if it is in range for wireless communication with at least another mobile node or with said node in a static wireless network; and

if determined that said at least one mobile sensor node is in range for wireless communication, said node communicates a wake-up signal to said at least one mobile sensor node to cause it to increase its power to level suitable for communication.

3. The method of claim 1 further comprising:

distributing sensors, including said at least one mobile sensor, wherein the sensors are operable to capture measurement data for a feature of interest.

4. The method of claim 1 wherein said at least one mobile sensor is operable to perform at least one of the following:

capture measurement data for a feature of interest, Timestamp information or spatial location information, sensing, actuation, computation, data storage, and communicating data.

5. The method of claim 1 wherein there is asynchronous coordination among mobile sensor nodes with the static wireless sensor network wherein the mobile nodes synchronize their data and data collection strategies with the static wireless network when they are within communication range of the static wireless network.

6. The method of claim 1 wherein the privacy of the sensor data of one mobile sensor node is secured as it travels through the resources of another mobile node or a static node to the remote application.

7. The method of claim 1 wherein the static wireless network is a wireless hot spot, or a city wide wireless network, or a wireless network at a home or an office.

8. A system comprising plurality of vehicles as mobile sensor nodes wherein at least one of the pluralities of nodes comprises a) an interface for communicating via wireless communication with other mobile sensor nodes to form an ad-hoc wireless sensor network;

b) an interface for communicating via a transient communication link with static wireless network;

c) a plurality of means for measuring a characteristic of the environment;

d) records timestamp and spatial location information;

e) plurality of means for aggregating local information and coordinating collection strategies; and

e) store and forward information.

9. The system of claim 8 comprises the plurality of means for measuring a characteristic of the environment including weather, pollution, biological and chemical agents in the environment.

10. The system of claim 8 wherein the timestamp information identifies when the data was captured by a mobile sensor node.

11. The system of claim 8 wherein the spatial location information provides a relational spatial position reference of a mobile sensor node that captured the data at the time of its capturing the data.

12. The method of claim 8 wherein the sensor and timestamp information is stored locally and forwarded when within range of another mobile sensor node or a static wireless network.

13. A method comprising of mobile sensor nodes that form an ad-hoc wireless sensor network with other mobile nodes that is local group and said mobile nodes are independently movable and are capable of traveling outside communication range of the ad-hoc wireless sensor network, and wherein a statistical probability exists that a group of the accessing means will travel within range of at least one of the local group members other than itself to perform communication between with another in addition to exchanging data.

14. The method of claim 13 wherein the communication between mobile nodes is for exchanging stored information and for communication between passengers in vehicles that form the local group.

15. A method comprising:

aggregating mobiles sensor data and predictive models that generates environment maps, predicts traffic patterns and provides chemical and biological maps for first responders in the event of a calamity.

16. The method of claim 15 wherein environment maps are generated from aggregating and computing and processing of the data from the environmental sensors on the vehicles and its GPS co-ordinates.

17. The method of claim 15 wherein traffic patterns are generated using predictive models that use GPS information of individual mobiles nodes in combination with the timestamp information and environmental sensor data.

18. The method of claim 15 wherein chemical and biological maps are generated by aggregating and computing information from chemical sensors, biological sensors, GPS co-ordinates and timestamp information from the mobiles sensor nodes.