Aeris Communications, Inc.

Kla Tencor Corporation

Kla-tencor Technologies Corporation

Openwave Mobility Inc.

Subramanian Balakrishnan

Jins George

Narendra Kumar Sharma

Anupam Bagchi

Alpa Shah

Stephanie Chen

Hector Aquiles Rodriguez

Anil Goel

Richard Wallingford

Hong Chen

Jason Z Lin

Drew S Johnson

Chien-Huei (Adam) Chen

Michael John Van Riet

Chris Maher

Michal Kowalski

Hyungho Kim

Barry Becker

Steve Dotolo

Sundararaj Arunachalam

Ryan David Kennedy

Suryanarayana Tummala

Gurinder Singh Dhillon

Ivan L Stanchev

Shriman Anupam Bagchi

Deborah Robbins Schwarzer

Strafford Wentworth

Olivier G Coutand

Leif Ronnie Pettersson

The present invention relates generally to network communications, and more particularly to machine-to-machine (M2M) data communications. The present invention provides for a method, apparatus and computer program product for detecting anomalous performance event across a machine-to-machine (M2M) network and thereafter alerting users of performance issues in real-time or near real-time.

Methodology for intelligent pattern detection and anomaly detection in machine to machine communication network

In one example embodiment, a computer-implemented method and system for learning places of interest are disclosed. The method includes learning and storing location information of at least one mobile device; detecting a location where no movement of the at least one mobile device has occurred over a pre-determined duration of time; determining whether the detected location is classified as a location of interest based on a predefined criteria; and clustering the learned location of interest into bigger groups based on location information of the learned location of interest using a pre-defined criteria.

Learning locations of interest using IoT devices

The present invention relates generally to a process for determining optimized communication rate plans for one or more communications devices across one or more communications networks. The present invention provides for assigning one or more devices operative on a communications network with one or more rate plans to an optimal rate plan. The present invention, in one or more embodiments provides of the one or more communication devices with a cost-effective rate plan solution based on usage profile of the one or more devices and available cost-savings programs available to the one or more devices.

Method and system for automated assignment of devices to an optimal rate plan

A computer implemented method, system and computer readable medium for use in machine to machine (M2M) or internet of Things (IoT) network including network devices are disclosed. The computer implemented method comprises providing a guaranteed price plan to a customer for a predetermined time period and learning about network device usage over the predetermined time period to provide a learned price plan. The computer implemented method also comprises determining a new price plan based on the learned price plan. Finally, the computer implemented method comprises utilizing the new price plan with customer's network devices.

Adaptive M2M billing

A computer-implemented method and system for managing IoT device lifecycle for IoT devices using cellular or wireless networks are disclosed. The method includes receiving network usage information for one or more devices operating on a cellular network; storing network usage information for the one or more devices operating on a cellular network; analyzing the stored data network information for the one or more devices as historical network usage information for each of the one or more devices operating on a cellular network; determining which of the one or more devices have not used cellular network for a pre-determined period of time, where the pre-determined period of time is learned based on the historical network usage information, or provided as one or more static threshold parameters; and recommending lifecycle changes for each of the one or more devices that have not used cellular network for the pre-determined period of time.

Intelligent mechanism to identify and manage cost of IoT device lifecycle

A method and system for optimizing network access of a device on a cellular network are disclosed. The method includes receiving connectivity information from a device; compiling the received connectivity information as device analytics; specifying rules to maintain connectivity of the device to a network based on the device analytics; and automatically configuring the device in response to the rules to maintain connectivity of the device to the network. The system includes a back end system for receiving connectivity information from a device; an analytic system for compiling the received connectivity information as device analytics; a rules engine for specifying rules to maintain connectivity of the device to a network based on the device analytics; and a configuration module, wherein the configuration module automatically configures the device in response to the rules to maintain connectivity of the device to the network.

Intelligent carrier and service selection for the internet of things

In one example embodiment, a computer-implemented method and system for automated detection of change of ownership of one or more assets are disclosed. The method includes learning and storing location information of at least one asset; detecting a location where no movement of the at least one asset has occurred over a pre-determined duration of time; determining whether the detected location is classified as a location of interest based on a pre-defined criteria; preparing a data model for the at least one asset to learn and analyze determined location of interest; classifying the determined locations of interests based on frequency of occurrence of pre-determined events; comparing new data to the data model; and determining probability of change of ownership of the at least one asset as a prediction score as a result of the comparison.

Automated detection of change of ownership of assets

A computer-implemented method and system for tracking physical delivery of a batch of products through a third party system and registration of the batch of products with a seller using a non-recurring secure identifier for the batch of products are provided. The computer-implemented method and system allow for generating a non-recurring secure identifier for a batch of products containing one or more products; assigning the non-recurring secure identifier to the batch of products; and using the non-recurring secure identifier for associating the batch of products with an account of a recipient, wherein the batch of products are enabled to receive services associated with the account.

Tracking physical delivery of products through a fulfillment system

A computer-implemented method and system for providing job status information for an IoT device are disclosed. The method providing job status information includes receiving location information of an IoT device; receiving job assignment information for the IoT device; evaluating the location information to determine the job status for the IoT device based on a specified condition; and sharing the job status information for the IoT device. The system for providing job status information includes an IoT device, a job management platform (JMP) and a user interface, wherein the JMP further comprises a storage database for receiving location information of the IoT device and job assignment information for the IoT device; and an analytics engine for evaluating the location information to determine the job status for the IoT device based on a specified condition; and wherein the JMP shares the job status information for the IoT device.

System and method for monitoring and sharing location and activity of devices

A computer-implemented method and system for monitoring route compliance of moving devices are disclosed. The method for monitoring route compliance of moving devices includes determining parameters for a typical trip based on job description; defining compliance parameters for route compliance based on the determined parameters for the typical trip; comparing parameters of the trip for which compliance is to be determined to the defined compliance parameters; and determining if the trip for which compliance is to be determined falls within the defined compliance parameters.

System and method for determining compliant routes for repetitive trips

The present invention relates generally to network communications, and more particularly to machine-to-machine (M2M) data communications. The present invention provides for a method, apparatus and computer program product for detecting performance event data across a machine-to-machine (M2M) network indicative of anomalous performance of data and thereafter alerting users of performance issues in real-time or near real-time.

A computer implemented method is disclosed. The computer implemented method comprises providing a guaranteed price plan to a customer for a predetermined time period and learning about network element usage over the predetermined time period to provide a learned price plan. The computer implemented method also comprises determining a new price plan based on the learned price plan. Finally, the computer implemented method comprises utilizing the new price plan with customer's network elements.

A computer-implemented method and system for detecting instances of missing data records in Usage Data Records (UDRs) generated for wireless services is disclosed. The system and method comprises recording a sequence of events related to transmission of data through at least one service element, transmitting the sequence of events as usage data records to a server for accounting and using an anomaly detection algorithm to detect instances of missing usage data records in the transmitted usage data records.

System and method for detecting instances of missing data records in usage data records generated for wireless services

The present invention is directed toward networks and more particularly to a method and system for providing information related to context-oriented billing in such networks. In one more embodiments, a computer implemented method provides for billing invoices in response to one or more of a customer's network elements which have been correlated with detailed network data, classified into one or more billing event categories, and rated in accordance with a predetermined hierarchy.

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Cupertino, CA, United States of America

Subramanian Balakrishnan