OFDMA-TDMA-Based Seismic Data Transmission over TV White Space

Naveed Iqbal, Azzedine Zerguine*, Sikandar Khan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Traditional cable-based geophone network is not an efficient way of seismic data transmission owing to the related cost and weight. To alleviate these drawbacks, in this work, unlike the existing setup, an OFDMA-TDMA based wireless geophone network is proposed to maximize the throughput for timely delivery of the seismic data from geophones to the data center. Furthermore, a TV white space is utilized for transmission in order to have long-distance links between the wireless geophones and the data center, and ultimately evading the use of intermediate relays. This, in turn, reduces the delivery time of the seismic data. More importantly, the seismic data transmission is modeled using a Markov chain and analytical expressions of throughput and transmission time are derived. Finally, our theoretical findings are substantially corroborated by simulation results.

Original languageEnglish
Article number9328334
Pages (from-to)1720-1724
Number of pages5
JournalIEEE Communications Letters
Volume25
Issue number5
DOIs
StatePublished - May 2021

Bibliographical note

Funding Information:
Manuscript received December 16, 2020; accepted January 2, 2021. Date of publication January 18, 2021; date of current version May 6, 2021. This work is supported by the Deanship of Scientific Research at KFUPM under research Grant SB181001. The associate editor coordinating the review of this letter and approving it for publication was B. Makki. (Corresponding author: Azzedine Zerguine.) Naveed Iqbal and Azzedine Zerguine are with the Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia (e-mail: [email protected]; azzedine@ kfupm.edu.sa).

Publisher Copyright:
© 1997-2012 IEEE.

Keywords

  • Markov analysis
  • OFDMA
  • TV white space
  • seismic acquisition
  • wireless geohones

ASJC Scopus subject areas

  • Modeling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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