US2020090203A1PendingUtilityA1

Rewards for custom data transmissions

Assignee: HEWLETT PACKARD ENTPR DEV LPPriority: Sep 14, 2018Filed: Jul 9, 2019Published: Mar 19, 2020
Est. expirySep 14, 2038(~12.1 yrs left)· nominal 20-yr term from priority
H04L 2209/84H04L 9/3239G06Q 30/0211G06Q 40/08G06Q 30/0217H04L 9/0643H04L 9/3236H04W 4/44H04W 4/38G06Q 30/0236B60R 16/037B60R 16/0234B60R 16/0231B60R 16/023H04L 9/50H04L 67/303
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Claims

Abstract

An example system comprising a computing device to transmit data from a vehicle provisioned with a plurality of hardware computing resources to a decentralized entity, the computing device to receive a custom data selection from the vehicle in response to a conditional request for a particular data set by the decentralized entity, apply a hash function to the custom data selection, transmit the custom data selection to the decentralized entity, verify that the custom data selection fulfills the conditional request of the decentralized entity, and transmit a reward to the vehicle from the decentralized entity in response to the custom data selection having fulfilled the conditional request.

Claims

exact text as granted — not AI-modified
What is claimed: 
     
         1 . An edge computing system comprising:
 a first edge computing device to transmit data from an edge hub device provisioned with a plurality of hardware computing resources to a decentralized entity, the first edge computing device is configured to:
 receive a custom data selection from the edge hub device in response to a conditional request for a particular data set by the decentralized entity; 
 verify that the custom data selection fulfills the conditional request of the decentralized entity; 
 transmit the custom data selection to the decentralized entity; 
 determine an appropriate reward based on one or more characteristics of the custom data selection; and 
 transmit the appropriate reward to a recipient from the decentralized entity in response to the custom data selection having fulfilled the conditional request. 
   
     
     
         2 . The edge computing system of  claim 1 , wherein the first edge computing device is further configured to determine the one or more characteristics of the custom data selection. 
     
     
         3 . The edge computing system of  claim 2 , wherein the one or more characteristics of the custom data selection comprises at least one of a reliability of the custom data selection and how well the custom data selection fulfills the conditional request. 
     
     
         4 . The edge computing system of  claim 3 , further comprising determining reliability of the custom data selection based on at least one of accuracy associated with one or more sources providing the data, and a number of different ones of the one or more sources providing the data. 
     
     
         5 . The edge computing system of  claim 4 , wherein the one or more sources comprise at least one of a data source local to the edge hub device and a data source external to the edge hub device. 
     
     
         6 . The edge computing system of  claim 3 , further comprising comparing at least one of data values and data ranges comprising the custom data selection with at least one of data values and data ranges set forth in the conditional request, and determining closeness of the at least one of the data values and data ranges comprising the custom data selection with the at least one of the data values and the data ranges set forth in the conditional request. 
     
     
         7 . The edge computing system of  claim 2 , wherein the one or more characteristics of the custom data selection comprise weight values assigned to data or data subsets comprising the custom data selection. 
     
     
         8 . The edge computing system of  claim 1 , wherein the first edge computing device verifies that the custom data selection fulfills the conditional request based on comparison data received from the edge hub device. 
     
     
         9 . The edge computing system of  claim 8 , wherein the comparison data comprises a comparison between sensor data generated by one or more sensors of the edge hub device and data generated by at least one of other edge hub devices and infrastructure devices. 
     
     
         10 . The edge computing system of  claim 9 , wherein the edge hub device comprises a first vehicle, the other edge hub devices comprise neighboring vehicles, and the infrastructure devices comprise smart roadway infrastructure. 
     
     
         11 . The edge computing system of  claim 10 , wherein the reward comprises control or level of control of an on-demand vehicle function. 
     
     
         12 . The edge computing system of  claim 10 , wherein the reward comprises a temporary upgrade to a vehicle operating functionality including at least one of a software patch, executable computer code, and an access code. 
     
     
         13 . The edge computing system of  claim 1 , wherein one of the first edge computing device or the decentralized entity is configured to revoke the reward or scale the reward in response to the custom data selection no longer fulfilling the conditional request. 
     
     
         14 . The edge computing system of  claim 1 , wherein the reward comprises one of a monetary reward and a non-monetary reward. 
     
     
         15 . The edge computing system of  claim 1 , wherein the recipient comprises the edge hub device or a third-party recipient. 
     
     
         16 . The edge computing system of  claim 1 , wherein the reward comprises a redeeming mechanism redeemable at a third-party transaction ecosystem. 
     
     
         17 . The edge computing system of  claim 1 , wherein at least one of the first edge computing system, the edge hub device, and the decentralized entity comprise, in part, a buffer configured to buffer the reward, a subset of the reward, or an accumulation of rewards. 
     
     
         18 . The edge computing system of  claim 17 , wherein the buffer comprises an accounting function configured to monitor and calculate reward accumulation and redemption. 
     
     
         19 . The edge computing system of  claim 17 , wherein the buffer is further configured to store at least one of a most recent custom data selection, and an accumulation of current and past custom data selections. 
     
     
         20 . The edge computing system of  claim 20 , wherein the decentralized entity releases one of a portion of the reward, the subset of the reward, or a portion of the accumulated rewards based on at least one of a degree to which the custom data selection fulfills the conditional request, and an external operating condition relevant to the edge hub device.

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