RL-based Superframe Order Adaptation Algorithm for IEEE 802.15.4 Networks

摘要：

In wireless sensor networks, it is an important problem to adjust the work time window in each working/sleeping period to save energy under light network loads and decrease the packet delay under heavy network loads. In this paper, we introduce reinforcement learning method into this problem. We discuss the algorithm design method in a simple IEEE 802.15.4 network, where an RL-based adaptive algorithm is proposed. Simulation results show that this RL-based algorithm can adapt to the change of data flow and make a good tradeoff between the energy-saving performance and the packet delay performance.

关键词： IEEE 802.15.4 Superframe Order Wireless Sensor Networks Reinforcement learning

作者: Mao Jianlin Xiang Fenghong Lai Hua

作者单位: Kunming University of Science and Technology,Kunming 650093,China

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 4708-4711

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）