System and method for routing, mobility, application services, discovery, and sensing in a vehicular network environment

• US 10,602,329 B2
• Filed: 05/12/2017
• Issued: 03/24/2020
• Est. Priority Date: 01/14/2011
• Status: Active Grant

• Current Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Original Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Inventors: Addepalli, Sateesh K., Sudhaakar, Raghuram S., Dai, Lillian Lei, Somers, Robert Edward
• Primary Examiner(s): Sloms, Nicholas
• Application Number:
  US15/594,379
• Publication Number:
  US 20170251339A1
• Time in Patent Office: 1,047 Days
• Field of Search: None
• CPC Class Codes: B60R 16/023 for transmission of signals between vehicle parts or subsystems
• CPC Class Codes: B60W 50/10 Interpretation of driver requests or demands
• CPC Class Codes: G06F 21/45 Structures or tools for the administration of authentication
• CPC Class Codes: G06F 3/017 Gesture based interaction, e.g. based on a set of recognized hand gestures interaction based on gestures traced on a digitiser G06F3/04883
• CPC Class Codes: G06F 3/167 Audio in a user interface, e.g. using voice commands for navigating, audio feedback
• CPC Class Codes: G06F 9/542 Event management; Broadcasting; Multicasting; Notifications
• CPC Class Codes: H04L 1/008 where the control data relates to payload of a different packet
• CPC Class Codes: H04L 43/0811 by checking connectivity
• CPC Class Codes: H04L 43/0858 One way delays
• CPC Class Codes: H04L 43/0876 Network utilisation, e.g. volume of load or congestion level
• CPC Class Codes: H04L 45/12 Shortest path evaluation
• CPC Class Codes: H04L 51/02 using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
• CPC Class Codes: H04L 61/2592 using tunnelling or encapsulation
• CPC Class Codes: H04L 63/0227 Filtering policies mail message filtering H04L51/212
• 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 67/60 Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources admission control or resource allocation H04L47/70
• CPC Class Codes: H04L 69/18 Multiprotocol handlers, e.g. single devices capable of handling multiple protocols
• CPC Class Codes: H04Q 9/00 Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
• CPC Class Codes: H04W 12/03 Protecting confidentiality, e.g. by encryption
• CPC Class Codes: H04W 28/0215 based on user or device properties, e.g. MTC-capable devices services for machine-to-machine communication [M2M] or machine type communication [MTC] H04W4/70; wireless resource selection or allocation plan definition based on terminal or device properties H04W72/51
• CPC Class Codes: H04W 28/06 : Optimizing the usage of the radio link, e.g. header compression, information sizing , discarding information system modifying transmission characteristic according to link quality by modifying frame length H04L1/0007; dynamic adaptation of the packet size for flow control or congestion control H04L47/365
• CPC Class Codes: H04W 36/0009 : for a plurality of users or terminals, e.g. group communication or moving wireless networks user group management H04W4/08; processing of subscriber group data H04W8/186
• CPC Class Codes: H04W 36/08 : Reselecting an access point
• CPC Class Codes: H04W 4/00 : Services specially adapted for wireless communication networks; Facilities therefor
• CPC Class Codes: H04W 4/10 : Push-to-Talk [PTT] or Push-On-Call services
• CPC Class Codes: H04W 4/40 : for vehicles, e.g. vehicle-to-pedestrians [V2P]
• CPC Class Codes: H04W 40/02 : Communication route or path selection, e.g. power-based or shortest path routing
• CPC Class Codes: H04W 40/20 : based on geographic position or location
• CPC Class Codes: H04W 48/02 : Access restriction performed under specific conditions
• CPC Class Codes: H04W 48/06 : based on traffic conditions
• CPC Class Codes: H04W 48/16 : Discovering, processing access restriction or access information
• CPC Class Codes: H04W 48/18 : Selecting a network or a communication service
• CPC Class Codes: H04W 52/0206 : in access points, e.g. base stations access point devices per se H04W88/08
• CPC Class Codes: H04W 52/0219 : where the power saving management affects multiple terminals
• CPC Class Codes: H04W 52/0264 : by selectively disabling software applications
• CPC Class Codes: H04W 52/12 : Outer and inner loops
• CPC Class Codes: H04W 52/143 : Downlink power control
• CPC Class Codes: H04W 52/225 : Calculation of statistics, e.g. average, variance
• CPC Class Codes: H04W 52/241 : taking into account channel quality metrics, e.g. SIR, SNR, CIR, Eb/lo
• CPC Class Codes: H04W 52/346 : distributing total power among users or channels
• CPC Class Codes: H04W 72/20 : Control channels or signalling for resource management
• CPC Class Codes: H04W 72/23 : in the downlink direction of a wireless link, i.e. towards a terminal
• CPC Class Codes: H04W 72/53 : based on regulatory allocation policies
• CPC Class Codes: H04W 76/45 : for Push-to-Talk [PTT] or Push-to-Talk over cellular [PoC] services
• CPC Class Codes: H04W 8/06 : Registration at serving network Location Register, VLR or user mobility server
• CPC Class Codes: H04W 8/08 : Mobility data transfer
• CPC Class Codes: H04W 8/26 : Network addressing or numbering for mobility support
• CPC Class Codes: H04W 80/02 : Data link layer protocols
• CPC Class Codes: H04W 84/005 : Moving wireless networks
• CPC Class Codes: H04W 84/12 : WLAN [Wireless Local Area Networks]
• CPC Class Codes: H04W 92/18 : between terminal devices
• CPC Class Codes: Y02A 30/60 : Planning or developing urban green infrastructure
• CPC Class Codes: Y02D 30/70 : in wireless communication networks

Abstract

A method includes receiving, by a processor of a data collector, a request for sensor data related to an event. The method also includes sending a plurality of requests for the sensor data to a plurality of on-board units (OBUs), respectively, where the plurality of OBUs is associated with a plurality of vehicles, respectively. The method further includes receiving a plurality of responses from the plurality of OBUs, respectively, wherein each response of the plurality of responses includes a sensor data item related to the event. In more specific embodiments the plurality of requests are sent to the plurality of OBUs based on the plurality of OBUs being located within a certain proximity to the event. In yet further embodiments, each sensor data item of the plurality of responses is encapsulated with a respective tag.

Claims

1. A method comprising:

receiving, by a processor of a data collector, a request for sensor data related to a location based transient event;

identifying at least one ad hoc vehicular network from among a plurality of ad hoc vehicular networks proximate to the location based transient event, wherein the at least one ad hoc vehicular network includes a plurality of on-board units (OBUs) each associated with respective one of a plurality of vehicles;

sending, by the data collector, a plurality of requests for the sensor data to the plurality of OBUs of the at least one ad hoc vehicular network; and

receiving a plurality of responses from the plurality of OBUs, respectively, wherein each response of the plurality of responses includes a sensor data item related to the location based transient event and is encapsulated with a tag that includes location information and direction information, associated with the sensor data item; and

providing, by the data collector, at least one map tile associated with the location based transient event, the at least one map tile generated by cross-referencing the location information and the direction information in the tag with raw vector data.

2. The method of claim 1, wherein the tag associated with the sensor data item includes a time related information associated with the sensor data item.

3. The method of claim 2, wherein the sensor data item includes a photograph, and wherein the tag includes the direction information associated with a directional view of the photograph.

4. The method of claim 1, wherein at least one first sensor data item is obtained from a machine device of a first vehicle of the plurality of vehicles, the machine device having an established communication link to a first OBU of the first vehicle and at least one second sensor data item is obtained from a mobile device having an established communication link to the first OBU of the first vehicle of the plurality of vehicles.

5. The method of claim 1, wherein at least one sensor data item is obtained from a mobile device having an established communication link to a first OBU of a first vehicle of the plurality of vehicles.

6. The method of claim 1, wherein receiving the plurality of responses includes receiving at least one sensor data item that includes accelerometer data and wherein the at least one map tile is generated based on the accelerometer data to show a propagation pattern and relative strength of an earthquake geographically, the method further comprising:

sending the at least one map tile to the plurality of OBUs of the plurality of vehicles.

7. The method of claim 1, wherein the plurality of responses include the sensor data item indicating a condition of the location based transient event in real-time.

12. The method of claim 1, wherein sending the plurality of requests for the sensor data includes requesting a camera service from a mobile device via the at least one ad hoc vehicular network and wherein the sensor data item includes a video stream and the tag includes time related information, associated with the video stream.

13. The method of claim 1, wherein the sensor data item of the plurality of responses includes a photograph and the tag includes time related information and attributes of a respective sensor that captured the sensor data item.

14. The method of claim 13, wherein the at least one map tile is further generated by cross-referencing the time related information provided in the tag with respect to the raw vector data and further comprising:

sending the at least one map tile to a map related application via a respective OBU on a respective vehicle.

15. The method of claim 14, wherein the at least one map tile is a street view updated with current conditions related to the location based transient event.

18. The method of claim 1, wherein the tag further includes time related information and the sensor data includes an image, a video stream, or accelerometer data.

8. An apparatus, comprising:

a processor; and

a memory element coupled to the processor, the memory element comprising instructions for execution by the processor, wherein the processor is configured to;

receive a request for sensor data related to a location based transient event;

identifying at least one ad hoc vehicular network from among a plurality of ad hoc vehicular networks proximate to the location based transient event, wherein the at least one ad hoc vehicular network includes a plurality of on-board units (OBUs) each associated with a respective one of a plurality of vehicles;

send a plurality of requests for the sensor data to the plurality of OBUs of the at least one ad hoc vehicular network; and

receive a plurality of responses from the plurality of OBUs, respectively, wherein each response of the plurality of responses includes a sensor data item related to the location based transient event and a tag including location information and direction information, associated with the sensor data item; and

providing at least one map tile related to the location based transient event, the at least one map tile generated by cross-referencing the location information and the direction information in the tag with raw vector data.

10. The apparatus of claim 8, wherein the tag associated with the sensor data item includes information indicating a time related information associated with the sensor data item.

16. The apparatus of claim 8, wherein the sensor data item includes a video stream and wherein the tag further includes time information associated with the video stream.

17. The apparatus of claim 8, wherein the sensor data item of the plurality of responses includes a photograph and the tag further includes date and time information and attributes of a respective sensor that captured the sensor data item.

19. The apparatus of claim 8, wherein the tag includes time related information and the sensor data includes an image, a video stream, or accelerometer data.

9. At least one non-transitory computer readable media comprising instructions stored thereon, the instructions when executed by at least one processor cause the at least one processor to:

receive a request for sensor data related to a location based transient event;

identifying at least one ad hoc vehicular network from among a plurality of ad hoc vehicular networks proximate to the location based transient event, wherein the at least one ad hoc vehicular network includes a plurality of on-board units (OBUs) each associated with respective one of a plurality of vehicles;

send a plurality of requests for the sensor data to the plurality of OBUs of the at least one ad hoc vehicular network; and

receive a plurality of responses from the plurality of OBUs, respectively, wherein each response of the plurality of responses includes a sensor data item related to the location based transient event and a tag including location information and direction information, associated with the sensor data item; and

providing at least one map tile related to the transient event, the at least one map tile generated by cross-referencing the location information and the direction information in the tag with raw vector data.

11. The at least one non-transitory computer readable media of claim 9, wherein the tag associated with the sensor data item includes a time related information with respect to the sensor data item.

20. The at least one non-transitory computer readable media of claim 9, wherein the tag further includes time related information and the sensor data includes an image, a video stream, or accelerometer data.