MRL-SCSO: Multi-agent Reinforcement Learning-Based Self-Configuration and Self-Optimization Protocol for Unattended Wireless Sensor Networks

标题
MRL-SCSO: Multi-agent Reinforcement Learning-Based Self-Configuration and Self-Optimization Protocol for Unattended Wireless Sensor Networks
作者
关键词
Topology control, State scheduling, Self-configuration, Self-optimization, Multi-agent reinforcement learning, Unattended wireless sensor network
出版物
WIRELESS PERSONAL COMMUNICATIONS
Volume 96, Issue 4, Pages 5061-5079
出版商
Springer Nature
发表日期
2016-10-06
DOI
10.1007/s11277-016-3729-3

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