Impact of Backoff Algorithm on IoT over Multichannel Slotted Aloha System

Ruki Harwahyu, Chu Chun Huang, Ray Guang Cheng, Riri Fitri Sari

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

The increasing trend of Internet of Things brings new challenges to efficiently manage the resource in the access network. As a prominent solution to serve IoT services, LTE incorporates a small data transmission scheme for this reason. In this scheme, the overall system performance is greatly influenced by its random access procedure. Hence, studying the behavior of backoff during random access procedure is important. This work implements an iterative contending-user estimation model to analyze the performance of the contention-based random access procedure supporting finite-population. For the sake of generality, the system is modeled as a multichannel slotted Aloha. This allows our model to be used in wider specifications, including LTE and WiMAX systems. The behavior and performance of the system supporting multiple load scenarios is studied under different network loads. The simulation result demonstrates the accuracy of our proposed method to predict the normalized throughput, the packet-dropping probability, and the average access delay of each access-class. The performance of different backoff algorithm to resolve the collision in the system is compared and evaluated.

Original languageEnglish
Article number012088
JournalIOP Conference Series: Earth and Environmental Science
Volume248
Issue number1
DOIs
Publication statusPublished - 1 Jan 2019
Event1st International Conference on Smart City Innovation, ICSCI 2018 - Bandung, Indonesia
Duration: 25 Oct 201826 Oct 2018

Keywords

  • backoff algorithm
  • Internet of Things (IoT)
  • LTE
  • Multi-channel slotted ALOHA
  • Random access
  • WiMAX

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