Comparative analysis of magnetic induction based communication techniques for wireless underground sensor networks

Author:

Malik Pratap S.1,Abouhawwash Mohamed23,Almutairi Abdulwahab4,Singh Rishi Pal1,Singh Yudhvir5

Affiliation:

1. Department of Computer Science & Engineering, Guru Jambheshwar University of Science & Technology, Hisar, Haryana, India

2. Department of Computational Mathematics, Science, and Engineering (CMSE), Michigan State University, East Lansing, MI, United States

3. Department of Mathematics, Faculty of Science, Mansoura University, Mansoura, Egypt

4. School of Mathematics, Unaizah College of Sciences and Arts, Qassim University, Buraydah, Al-Qassim, Saudi Arabia

5. Department of Computer Science & Engineering, Maharshi Dayanand University, Rohtak, Haryana, India

Abstract

A large range of applications have been identified based upon the communication of underground sensors deeply buried in the soil. The classical electromagnetic wave (EM) approach, which works well for terrestrial communication in air medium, when applied for this underground communication, suffers from significant challenges attributing to signal absorption by rocks, soil, or water contents, highly varying channel condition caused by soil characteristics, and requirement of big antennas. As a strong alternative of EM, various magnetic induction (MI) techniques have been introduced. These techniques basically depend upon the magnetic induction between two coupled coils associated with transceiver sensor nodes. This paper elaborates on three basic MI communication mechanisms i.e. direct MI transmission, MI waveguide transmission, and 3D coil MI communication with detailed discussion of their working mechanism, advantages and limitations. The comparative analysis of these MI techniques with each other as well as with EM wave method will facilitate the users in choosing the best method to offer enhanced transmission range (upto 250 m), reduced path loss (<100 dB), channel reliability, working bandwidth (1–2 kHz), & omni-directional coverage to realize the promising MI-based wireless underground sensor network (WUSN) applications.

Publisher

PeerJ

Subject

General Computer Science

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