Crowd sourced data sampling at the crowd

Patent metadata

Field	Value
Publication number	US-11093452-B2
Application number	US-201514929472-A
Country	US
Kind code	B2
Filing date	Nov 2, 2015
Priority date	Apr 21, 2015
Publication date	Aug 17, 2021
Grant date	Aug 17, 2021

Abstract

An approach is provided for sampling crowd sourced data. The approach selects an sampling node from a set of crowd nodes. The sampling node receives a data acquisition request from a data collector and receives data from the set of crowd nodes with the data being responsive to the data acquisition request. The received data is processed by the sampling node to reduce redundant data as defined by the data acquisition request. An acquired data message block is generated and transmitted from the sampling node to the data collector.

First claim

What is claimed is:

1. A method, in an information handling system comprising one or more processors and a memory of sampling crowd sourced data, the method comprising:
selecting a sampling node from a plurality of crowd nodes;
receiving, at the sampling node, a data acquisition request from a data collector; receiving, at the sampling node, data from the plurality of crowd nodes,
wherein the data is responsive to the data acquisition request;
processing, by the sampling node, the received data, wherein the processing reduces redundant data as defined by the data acquisition request and results in an acquired data message block;
transmitting the acquired data message block from the sampling node to the data collector;
establishing, by the sampling node, a plurality of collections wherein each collection includes at least one of the plurality of crowd nodes;
defining a geo-located region pertaining to each of the collections;
collecting a representative data from at least one of the crowd nodes included in each of the collections;
counting a number of nodes included in each of the collections that have redundant data as defined by the data acquisition request;
expanding each of the collections' geo-located regions based on a geo-location of the one or more crowd nodes included in each of the respective collections;
wherein the data acquisition request includes a redundancy parameter and a maximum collection geographic area parameter, wherein the method further comprises:
establishing a maximum size of each of the geo-located regions based on the maximum collection geographic area parameter;
receiving a first data from a first node of the plurality of crowd nodes and a second data from a second node of the plurality of crowd nodes, the first data corresponding to a first collection area and the second data corresponding to a second collection area,
wherein the first and second nodes are selected from the plurality of collections;
identifying that the received first and second data are within the redundancy parameter; and
determining, based on the first collection area being different from the second collection area, that the received first and second data are not redundant.

2. A method, in an information handling system comprising one or more processors and a memory of sampling crowd sourced data, the method comprising:
selecting a sampling node from a plurality of crowd nodes;
receiving, at the sampling node, a data acquisition request from a data collector, the data acquisition request including a redundancy parameter and a maximum collection geographic area parameter;
receiving, at the sampling node, data from the plurality of crowd nodes,
wherein the data is responsive to the data acquisition request;
processing, by the sampling node, the received data, wherein the processing reduces redundant data as defined by the data acquisition request and results in an acquired data message block;
transmitting the acquired data message block from the sampling node to the data collector;
establishing, by the sampling node, a plurality of collections wherein each collection includes at least one of the plurality of crowd nodes;
defining a geo-located region pertaining to each of the collections;
collecting a representative data from at least one of the crowd nodes included in each of the collections;
counting a number of nodes included in each of the collections that have redundant data as defined by the data acquisition request;
expanding each of the collections' geo-located regions based on a geo-location of the one or more crowd nodes included in each of the respective collections;
establishing a maximum size of each of the geo-located regions based on the maximum collection geographic area parameter;
receiving a first data from a first node of the plurality of crowd nodes and a second data from a second node of the plurality of crowd nodes, wherein the first and second nodes are both in a first collection selected from the plurality of collections;
identifying that the received first and second data are within the redundancy parameter; and
in response to identifying redundancy between the first data and the second data, including the first data in the acquired data message block and discarding the second data.

Assignees

• IBM

Inventors

• Lection David B
• Stevens Mark B
• Wilson John D

Classifications

• G06F16/174 Primary

  Redundancy elimination performed by the file system (error detection or correction of the data by redundancy in operations G06F11/14) · CPC title

• G06F16/282

  Hierarchical databases, e.g. IMS, LDAP data stores or Lotus Notes · CPC title

• G06F16/2365

  Ensuring data consistency and integrity · CPC title