Systems and methods for detecting and classifying anomalies in a network of moving things
AssigneeVeniam, Inc.
InventorsEduardo Mota, Rui Costa, Diogo Carreira
Life of this patent
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Abstract
Systems and methods for detecting and classifying anomalies in a network of moving things. As non-limiting examples, various aspects of this disclosure provide configurable and adaptable systems and methods, for example in a network of moving things, for detecting various operational anomalies, classifying such anomalies, and/or reporting such anomalies.
Claims23
A vehicle communication network comprising:
- an Access Point (AP), wherein the AP is a Mobile AP that is operable to provide wireless LAN connectivity to client devices while the Mobile AP is moving;
- and
- an anomaly detection system comprising at least one module that comprises a processor and a memory, wherein the at least one module is operable to, based at least in part on movement of the Access Point (AP), at least:
- receive a metric provided by the AP;
- retrieve a previous report prepared by the at least one module;
- determine at least a first portion of a next report based, at least in part, on the received metric;
- determine, based at least in part on the first portion of the next report, whether to communicate the next report to a destination;
- and
- if it is determined to communicate the next report to the destination, then communicate the next report to the destination.
An anomaly detection system for a vehicle communication network that comprises a Mobile Access Point (MAP) that is operable to provide Wireless Local Area Network (WLAN) connectivity to client devices while the MAP is moving, the anomaly detection system comprising:
- at least one module comprising a processor and a memory, wherein the at least one module is operable to, based at least in part on movement of the MAP, at least:
- receive a metric provided by a node of the vehicle communication network, the metric concerning operation of the vehicle communication network during a first time period;
- retrieve a previous report prepared by the at least one module, the previous report concerning operation of the vehicle communication network during a second time period prior to the first time period;
- determine at least a first portion of a next report based, at least in part, on the received metric;
- determine, based at least in part on the first portion of the next report, whether to communicate the next report to a destination;
- and
- if it is determined to communicate the next report to the destination, then communicate the next report to the destination.
An anomaly detection system for a vehicle communication network that comprises a Mobile Access Point (MAP) that is operable to provide Wireless Local Area Network (WLAN) connectivity to client devices while the MAP is moving, the anomaly detection system comprising:
- at least one module that comprises a processor and a memory, wherein the at least one module is operable to, based at least in part on movement of the MAP, at least:
- receive a metric provided by an access point (AP) of the vehicle communication network;
- retrieve a previous report prepared by the at least one module prior to receiving the metric provided by the AP;
- determine at least a first portion of a next report based, at least in part, on the received metric;
- determine, based at least in part on the first portion of the next report, whether to communicate the next report to a destination;
- and
- if it is determined to communicate the next report to the destination, then:
- determine one or more destinations for the next report based, at least in part, on the next report;
- and
- communicate the next report to the determined one or more destinations.
Dependencies are inferred from the claim text.