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RSSI-Based Access Points and Channel Selection Method Using Markov Approximation

Authors:
Masato Kagaya
Tomotaka Kimura
Kouji Hirata
Masahiro Muraguchi

Keywords: Access point selection; channel selection; Markov approximation; RSSI

Abstract:
In recent years, a large number of Access Points (APs) have been deployed in public facilities such as stations and airports. These allow users with wireless devices to select their APs from several APs. In general, the communication quality depends on the selected APs, and thus the AP selection is an important technical issue. In this paper, we propose an access- point and channel selection method based on Received Signal Strength Indication (RSSI) value using Markov approximation. In Markov approximation, the system is optimized by individual behavior of users forming a time-reversible continuous-time Markov chain. In the proposed method, to suppress frequent and useless state transitions, users do not select APs with small RSSI values. This reduces the number of state transitions, and thus the time-average objective function value can be increased rapidly. Through simulation experiments, we demonstrate the effectiveness of the proposed method.

Pages: 67 to 70

Copyright: Copyright (c) IARIA, 2020

Publication date: February 23, 2020

Published in: conference

ISSN: 2308-4413

ISBN: 978-1-61208-770-2

Location: Lisbon, Portugal

Dates: from February 23, 2020 to February 27, 2020