DYNAMIC MACHINE-TO-MACHINE COMMUNICATIONS AND SCHEDULING

Patent №

US 8,345,546

Granted

2013-01-01

Filed 2010

Owner

VERIZON PATENT AND LICENSING, INC.

Lab

AI components

2

kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12834985

A method may include obtaining traffic loading and resource utilization information associated with a network for the network time domain; obtaining machine-to-machine resource requirements for machine-to-machine tasks using the network; receiving a target resource utilization value indicative of a network resource limit for the network time domain; calculating a probability for assigning each machine-to-machine task to the network time domain, wherein the probability is based on a difference between the target resource utilization value and the traffic loading and resource utilization associated with the network; calculating a probability density function based on an independent and identically distributed random variable; generating a schedule of execution of the machine-to-machine tasks within the network time domain based on the probabilities associated with the machine-to-machine tasks and the probability density function; and providing the schedule of execution of the machine-to-machine tasks.

AI classification

AI hardware0.93
Knowledge representation0.88
Machine learning0.30
Evolutionary computation0.25
Natural language0.00
Speech0.00
Vision0.00
Planning0.00

Ownership

VERIZON PATENT AND LICENSING, INC.

assignment · 246710671

Assignors

CHAN, YEE SIN, YANG, JIN

On an employer assignment, the assignors are typically the inventors.

From the same owner

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