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Optimally Controlled Pure ALOHA Systems for Wireless Sensor Networks

Authors
Seo, Jun-BaeJin, Hu
Issue Date
Nov-2017
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Pure ALOHA; particle filter; Bayesian estimation; IoT
Citation
IEEE COMMUNICATIONS LETTERS, v.21, no.11, pp.2460 - 2463
Indexed
SCIE
SCOPUS
Journal Title
IEEE COMMUNICATIONS LETTERS
Volume
21
Number
11
Start Page
2460
End Page
2463
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/8556
DOI
10.1109/LCOMM.2017.2731314
ISSN
1089-7798
Abstract
Pure ALOHA would be one of the candidate techniques to realize low-power wide-area networks and various applications of Internet of Things with a huge number of low-cost end-devices (EDs) and sensors. No strict time-synchronization of pure ALOHA systems may reduce the hardware cost of sensors and system significantly. As such, this letter characterizes the performance of pure ALOHA systems in terms of throughput, access delay, and stability, and further proposes a particle-filter-based control algorithm for retransmission intervals of EDs to achieve near-optimal throughput performance.
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ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
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