- 专利标题: Reinforcement Learning-Based Intelligent Control of Packet Transmissions Within Ad-Hoc Networks
-
申请号: US16598841申请日: 2019-10-10
-
公开(公告)号: US20210111988A1公开(公告)日: 2021-04-15
- 发明人: Randall S. Plate , Cherry Y. Wakayama
- 申请人: United States of America as represented by the Secretary of the Navy
- 申请人地址: US CA San Diego
- 专利权人: United States of America as represented by the Secretary of the Navy
- 当前专利权人: United States of America as represented by the Secretary of the Navy
- 当前专利权人地址: US CA San Diego
- 主分类号: H04L12/751
- IPC分类号: H04L12/751 ; H04L12/64 ; H04L29/08 ; H04W40/26 ; H04W40/20 ; H04W40/02 ; H04W40/24 ; H04W84/18
摘要:
At a source node, a plurality of packets may be determined for transmission to a destination node in a network comprising a plurality of network nodes. A transmission rate of the plurality of packets from the source node to a neighbor node in the network may be adaptively controlled, based on a determination of a current status of the network by utilizing a plurality of parameters that are estimated via a reinforcement learning routing algorithm. The plurality of parameters include an estimated cost value representing a current cost to transmit the plurality of packets to the destination node via the network. Transmissions from intermediate nodes may also be adaptively deferred based on a determination of a current status of the network by utilizing the plurality of parameters.
公开/授权文献
信息查询