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Parham Moradi

Parham Moradi

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 654
Faculty: Faculty of Engineering
Address: Department of Computer Engineering, Faculty of Engineering, University of Kurdistan
Phone:

Research

Title
Reinforcement Learning for Multiple Access Control in Wireless Sensor Networks: Review, Model, and Open Issues
Type
JournalPaper
Keywords
Multiple access control·Reinforcement learning·Scheduling· Wireless sensor networks·Optimization
Year
2013
Journal Wireless Personal Communications
DOI
Researchers Parham Moradi ، Vafa Maihami ، Mohammad Fathi

Abstract

Wireless sensor networking is a viable communication technology among low-cost and energy-limited sensor nodes deployed in an environment. Due to high oper-ational features, the application area of this technology is extended significantly but with some energy related challenges. One main cause of the nodes energy wasting in these net-works is idle listening characterized with no communication activity. This drawback can be mitigated by themeans of energy-efficient multiple access control schemes so as tominimize idle listening. In this paper, we discuss the applicability of distributed learning algorithms namely reinforcement learning towardsmultiple access control (MAC) inwireless sensor net-works. We perform a comparative review of relevant work in the literature and then present a cooperative multi agent reinforcement learning framework for MAC design in wireless sensor networks. Accordingly, the paper concludes with some major challenges and open issues of distributed MAC design using reinforcement learning