Invention Grant
US09503359B2 Reducing floating DAGs and stabilizing topology in LLNs using learning machines
有权
使用学习机减少浮动DAG和稳定拓扑结构
- Patent Title: Reducing floating DAGs and stabilizing topology in LLNs using learning machines
- Patent Title (中): 使用学习机减少浮动DAG和稳定拓扑结构
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Application No.: US14163316Application Date: 2014-01-24
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Publication No.: US09503359B2Publication Date: 2016-11-22
- Inventor: Sukrit Dasgupta , Jean-Philippe Vasseur , Grégory Mermoud , Jonathan W. Hui
- 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 ; H04L12/721 ; H04L12/703 ; H04L12/753 ; H04L12/751
Abstract:
In one embodiment, a device determines a topological profile of individual nodes in a shared-media communication network, and also determines a respective likelihood of the nodes in the network to become a root of a floating topology based on the topological profiles. Accordingly, the device may provide instructions to particular nodes in the network based on the respective likelihoods.
Public/Granted literature
- US20150188801A1 REDUCING FLOATING DAGS AND STABILIZING TOPOLOGY IN LLNS USING LEARNING MACHINES Public/Granted day:2015-07-02
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