Reliable and Robust Communications in Industrial Wireless Sensor Networks

Khoshroo, Sasan; Wang, Honggang; Wang, Yalin

doi:10.1201/b14072-13

Cited by 1 publication

(1 citation statement)

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“…In order to avoid slow convergence issue of model-free Q-learning that requires sufficient visits every state, they adopt model-based Q-learning. QoS aware route selection algorithm is presented in [12]. This scheme aims to satisfy industrial application requirements such as reliable data delivery with limited memory and computational power.…”

Section: Related Workmentioning

confidence: 99%

Interference and Mobility-Aware Routing Scheme Based on Reinforcement Learning

Lee¹,

Jinsuk²

2016

IJFCC

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Abstract-Autonomoussystems with communication capability are being widely used in diverse fields as the technology rapidly advances. One of key requirements for these systems is to provide reliable data communication in the face of mobility and interference that can significantly deteriorate network performance and service. To deal with this problem, we propose an interference and mobility-aware routing scheme based on reinforcement learning algorithm. The proposed scheme utilizes the mobility and interference characteristics of the network as a reward from the environment. Then, routes are selected based on learning from the network. Simulation results show that our scheme can achieve reliable data delivery paths in the face of interference and mobility.

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Section: Related Workmentioning

confidence: 99%