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Tackling Hidden Node Problem Utilizing Traffic Periodicity and Downlink Carrier Sense in LPWAN

Research output: Contribution to journalArticlepeer-review

Abstract

Low-power wide-area networks (LPWANs), which achieve low-power consumption, enabling long-term battery operation and long-range communication capabilities, have emerged as a new standard for realizing massive wireless sensor networks (WSNs). LPWANs are becoming increasingly popular due to low introduction costs, which stem from features, such as using unlicensed bands and low-cost nodes. LPWANs are particularly useful for Internet of Things (IoT) applications that periodically collect information about specific observation targets. However, LPWAN generally adopts a simple medium access control (MAC), which significantly degrades communication quality due to packet collisions when the traffic load increases. Thus, MAC design is critical for realizing large-scale LPWANs. Carrier sense multiple access (CSMA) can autonomously avoid packet collisions. However, its performance is drastically deteriorated due to the hidden node problem in large-scale LPWANs. This article proposes an autonomous distributed MAC strategy that can suppress the hidden node problem by utilizing traffic periodicity. The proposed method is designed carefully considering LPWAN-specific constraints, such as duty cycle limitations in unlicensed bands, low clock accuracy of nodes, and limited downlink communication opportunities. From numerical results, the proposed method improves the packet delivery rate (PDR) performance by up to approximately by 29%, 9%, and 8% compared to ALOHA, CSMA-x, and the state-of-the-art LoRa MAC, respectively.

Original languageEnglish
Pages (from-to)6536-6547
Number of pages12
JournalIEEE Internet of Things Journal
Volume12
Issue number6
DOIs
Publication statusPublished - 2025
Externally publishedYes

Keywords

  • Internet of Things (IoT)
  • LoRaWAN
  • low-power wide area networks (LPWANs)
  • resource allocation

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications

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