عنوان مقاله :
A New Approach for Power Management in Sensor Node Based on Reinforcement Learning
عنوان به زبان ديگر :
A New Approach for Power Management in Sensor Node Based on Reinforcement Learning
پديدآورندگان :
Kianpisheh Somayeh نويسنده Faculty of Electrical and Computer Engineering Tarbiat Modares University Tehran , Moghadam Charkari Nasrolah نويسنده Faculty of Electrical and Computer Engineering Tarbiat Modares University Tehran
كليدواژه :
power management , Dynamic programming , reinforcemen learning , wireless sensor network
عنوان كنفرانس :
The 2011 International Symposium on;computer network and dostributed systems
چكيده فارسي :
Wireless sensor networks are composed of small nodes
with limited battery life and computational ability. Energy
reduction in these networks is an important issue to extend
network lifetime. Dynamic power management is a technique to
conserve energy. DPM [1] uses dynamic programming to manage
power in sensor nodes. This approach is model based and
exploiting it in a multi hop scenario is difficult. In this paper, we
propose RLPM which is based on reinforcement learning. It is
model free and easily applicable in both single hop and multi hop
scenario. Experiments show that RLPM behaves similar to DPM
while it does not have those constraints of DPM.
شماره مدرك كنفرانس :
1758943
