Invention Grant
- Patent Title: Using learning machine-based prediction in multi-hopping networks
- Patent Title (中): 在多跳网络中使用基于机器的预测
-
Application No.: US14164507Application Date: 2014-01-27
-
Publication No.: US09369351B2Publication Date: 2016-06-14
- Inventor: Andrea Di Pietro , Jean-Philippe Vasseur , Javier Cruz Mota
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Cisco Technology, Inc.
- Current Assignee: Cisco Technology, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Parker Ibrahim & Berg LLC
- Agent James M. Behmke; Stephen D. LeBarron
- Main IPC: H04L12/24
- IPC: H04L12/24 ; H04L12/805 ; H04W24/02 ; H04L12/751 ; H04L12/803 ; H04L12/26 ; H04W24/04 ; H04L12/721

Abstract:
In one embodiment, statistical information is collected relating to one or both of communication link quality or channel quality in a frequency-hopping network, in which packets are sent according to a frequency-hopping schedule that defines one or more timeslots, each timeslot corresponding to a transmission frequency. Also, a performance metric of a particular transmission frequency corresponding to a scheduled timeslot is predicted based on the collected statistical information. Based on the predicted performance metric, it is determined whether a transmitting node in the frequency-hopping network should transmit a packet during the scheduled timeslot using the particular transmission channel or wait until a subsequent timeslot to transmit the packet using another transmission frequency.
Public/Granted literature
- US20150195216A1 USING LEARNING MACHINE-BASED PREDICTION IN MULTI-HOPPING NETWORKS Public/Granted day:2015-07-09
Information query