0% Complete
فارسی
Home
/
سیزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
A Survey on Utilizing Reinforcement Learning in Wireless Sensor Networks Routing Protocols
Authors :
Ali Forghani Elah Abadi
1
Seyedeh Elham Asghari
2
Sepideh Sharifani
3
Seyyed Amir Asghari
4
Mohammadreza Binesh Marvasti
5
1- Kharazmi University
2- Polytechnique Montreal
3- Elm o Farhang University
4- دانشگاه خوارزمی
5- Kharazmi University
Keywords :
Reinforcement Learning،Wireless Sensor Networks،Energy Limitation،Lifespan،Reward and Punishment
Abstract :
This article reviews the control and routing methods in wireless sensor networks. These methods are able to increase the energy efficiency by using the reinforcement learning technique, considered as one of the means of machine learning. It is based on the reward and punishment technique which has a behavior similar to the learning process in children. Appropriate energy management and therefore lifespan increase in wireless sensor networks is one of the main challenges in these types of networks due to the energy limitation in its nodes. The purpose of writing the current article is to get acquainted with the relative methods provided. In this article, various means which are trying to use the reinforcement learning process to improve the behavior of wireless sensor networks and to make them smarter are presented and analyzed. Meanwhile, the evolution of these methods and the ratio of the superiority of each in comparison to the others have been examined.
Papers List
List of archived papers
An OWA-Powered Dynamic Customer Churn Modeling in the banking industry Based on Customer Behavioral Vectors
Masoud Alizadeh - Mohammad Soleymannejad - Behzad Moshiri
Wireless Virtual-Reality by considering Hybrid Beamforming in IEEE802.11ay standard
Nasim Alikhani - Abbas Mohammadi
AOV-IDS: Arithmetic Optimizer with Voting classifier for Intrusion Detection System
Amir Soltany Mahboob - Mohammad Reza Ostadi Moghaddam - Shima Yousefi
A Biased Random Key Genetic Algorithm for the Dial-a-Ride Problem
ُSomayeh Sohrabi - Koorush Ziarati - Morteza Keshtkaran
Effective Classifier for Predicting Churn in Payment Terminals Using RFM model and Deep Neural Network
Dr Mahila Dadfarnia - Ali Alemi Matinpour - Dr Monireh Abdoos
جمعآوری، تحلیل و خلاصه سازی نظرات کاربران فارسی زبان در شبکههای اجتماعی پیرامون بیماری فراگیر کووید-19
محمدرضا شمس - محمد یاسین فخار محمدرضا شمس - محمد یاسین فخار -
Electrophysiological Modeling and Interactive Approaches of Electrical Circuits and Hypergraphs for Understanding Neural Circuit Dynamics
Arian Baymani - Maryam Naderi Soorki
SBST challenges from the perspective of the test techniques
Sepideh Kashefi Gargari - Dr Mohammad Reza Keyvanpour
Sigma: A Secure Federated Network Gaming Platform
Keyhan Mohammadi - Reza Ebrahimi Atani
Video Steganography in HEVC Using Intra-Prediction Modes
Vahidreza Seirafian - Masoud Omomi
more
Samin Hamayesh - Version 42.3.1