Optimally Controlled Pure ALOHA Systems for Wireless Sensor Networks
- Authors
- Seo, Jun-Bae; Jin, 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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