An Intelligent Routing Algorithm in Wireless Sensor Networks based on Reinforcement Learning

被引：7

作者：

Guo, Wenjing ^{[1
]}

Yan, Cairong ^{[1
]}

Gan, Yanglan ^{[1
]}

Lu, Ting ^{[1
]}

机构：

[1] Donghua Univ, Sch Comp Sci & Technol, Shanghai, Peoples R China

来源：

ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING III | 2014年 / 678卷

关键词：

Wireless sensor networks (WSNs); Network lifetime; Intelligent routing; Reinforcement learning (RL); Packet delivery;

D O I：

10.4028/www.scientific.net/AMM.678.487

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Lifetime enhancement has been a hot issue in Wireless Sensor Networks (WSNs). To prolong the network lifetime of WSNs, this paper proposes an intelligent routing algorithm named RLLO. RLLO makes uses of the superiority of reinforcement learning (RL) and considers residual energy and hop count to define the reward function. It is to uniformly distribute the energy consumption and improve the packet delivery without additional cost. This proposed algorithm has been compared with Energy Aware Routing (EAR) and improved EAR (I-EAR). Simulation results show that RLLO gains a significant improvement in terms of network lifetime and packet delivery over these two algorithms.

引用

页码：487 / 493

页数：7

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