Impact of Rocks and Minerals on Underground Magneto-Inductive Communication and Localization

In this paper, we analyze the effect of different underground materials on very-low and low-frequency magnetic fields used in the contexts of magneto-inductive localization and communication applications, respectively. We calculate the attenuation that these magnetic fields are subject to while passing through most common rocks and minerals. Knowing the attenuation properties is crucial in the design of underground magneto-inductive communication systems. In addition, we provide means to predict the distortions in the magnetic field that impair localization systems. The proposed work offers basic design guidelines for communication and localization systems in terms of channel path loss, operation frequencies, and bandwidth. In order to make our results reproducible by other researchers, we provide the raw data and processing source code.

[1]  E. Jordan,et al.  Electromagnetic Waves and Radiating Systems , 1951 .

[2]  J. P. Riley,et al.  Handbook of physical constants , 1967 .

[3]  Arthur S. Ritchie,et al.  Handbook of Physical Constants , 1967 .

[4]  R. P. Lowndes,et al.  Dielectric constants of ionic crystals and their variations with temperature and pressure , 1970, Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences.

[5]  R. Gabillard,et al.  Subsurface Electromagnetic Telecommunication - A Review , 1971, IEEE Transactions on Communication Technology.

[6]  G. R. Olhoeft.  Semiconducting Ore Minerals. Developments in Economic Geology 4.: R.T. Shuey. Elsevier, Amsterdam, 1975, 415 pp., Dfl. 55.00. , 1976 .

[7]  R. Knight,et al.  The dielectric constant of sandstones, 60 kHz to 4 MHz , 1987 .

[8]  L. P. Geldart,et al.  Applied Geophysics: Contents , 1990 .

[9]  M. S. Ahmad,et al.  Some magnetic and electrical properties of basalt rocks , 1990 .

[10]  A. V. Bashirov,et al.  Statistical models of the probability distribution of the dielectric parameters of rock , 1991 .

[11]  R. Blakely.  Potential theory in gravity and magnetic applications , 1996 .

[12]  H. J. Hagger,et al.  Electromagnetic Waves in Stratified Media , 1996 .

[13]  John J. Sojdehei,et al.  Magneto-inductive (MI) communications , 2001, MTS/IEEE Oceans 2001. An Ocean Odyssey. Conference Proceedings (IEEE Cat. No.01CH37295).

[14]  O. Madelung.  Semiconductors: Data Handbook , 2003 .

[15]  J.P. How,et al.  Signal architecture for a distributed magnetic local positioning system , 2004, IEEE Sensors Journal.

[16]  Darrell Coles,et al.  Electromagnetic cave-to-surface mapping system , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[17]  Ian F. Akyildiz,et al.  Wireless underground sensor networks: Research challenges , 2006, Ad Hoc Networks.

[18]  Li Liyz,et al.  Characteristics of Underground Channel for Wireless Underground Sensor Networks , 2007 .

[19]  Weng Cho Chew,et al.  A Null-Field Method for Estimating Underground Position , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[20]  Ian F. Akyildiz,et al.  Signal propagation techniques for wireless underground communication networks , 2009, Phys. Commun..

[21]  Zhi Sun,et al.  Magnetic Induction Communications for Wireless Underground Sensor Networks , 2010, IEEE Transactions on Antennas and Propagation.

[22]  Francisco Lera,et al.  Accurately Locating a Vertical Magnetic Dipole Buried in a Conducting Earth , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[23]  David.  Channel Characterisation and System Design for Sub-Surface Communications , 2010 .

[24]  Lluís Rivero,et al.  Geoelectrical Classification of Gypsum Rocks , 2010 .

[25]  Agathoniki Trigoni,et al.  Revealing the hidden lives of underground animals using magneto-inductive tracking , 2010, SenSys '10.

[26]  Johnson I. Agbinya.  Principles of Inductive Near Field Communications for Internet of Things , 2011 .

[27]  Özgür B. Akan,et al.  A Communication Theoretical Modeling and Analysis of Underwater Magneto-Inductive Wireless Channels , 2012, IEEE Transactions on Wireless Communications.

[28]  A. Markham,et al.  Underground Localization in 3-D Using Magneto-Inductive Tracking , 2012, IEEE Sensors Journal.

[29]  Mohammad S. Obaidat,et al.  Wireless Underground Sensor Networks , 2012 .

[30]  Niki Trigoni,et al.  Magneto-Inductive NEtworked Rescue System (MINERS): Taking sensor networks underground , 2012, 2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN).

[31]  Rohankumar Gaikwad.  Electrical Properties Estimation of Oil Sands , 2014 .

[32]  J. C. Osuwa,et al.  Structural and Electrical Properties of Copper Sulfide (CuS) Thin Films doped with Mercury and Nickel impurities. , 2014 .

[33]  伊東 謙太郎,et al.  Copper zinc tin sulphide-based thin film solar cells , 2014 .

[34]  Ian F. Akyildiz,et al.  Throughput of the Magnetic Induction Based Wireless Underground Sensor Networks: Key Optimization Techniques , 2014, IEEE Transactions on Communications.

[35]  Mahta Moghaddam,et al.  Strategic frequency adaptation for mid-range magnetic induction-based Wireless Underground Sensor Networks , 2015, 2015 Annual IEEE Systems Conference (SysCon) Proceedings.

[36]  Ian F. Akyildiz,et al.  Distributed Cross-Layer Protocol Design for Magnetic Induction Communication in Wireless Underground Sensor Networks , 2015, IEEE Transactions on Wireless Communications.

[37]  Andrew Markham,et al.  Reducing magneto-inductive positioning errors in a metal-rich indoor environment , 2015, 2015 IEEE SENSORS.

[38]  Agathoniki Trigoni,et al.  Distortion Rejecting Magneto-Inductive Three-Dimensional Localization (MagLoc) , 2015, IEEE Journal on Selected Areas in Communications.

[39]  Ian F. Akyildiz,et al.  Wireless Underground Sensor Networks: MI-based communication systems for underground applications. , 2015, IEEE Antennas and Propagation Magazine.

[40]  Mahta Moghaddam,et al.  Operating frequency selection for low-power magnetic induction-based wireless underground sensor networks , 2015, 2015 IEEE Sensors Applications Symposium (SAS).

[41]  Agathoniki Trigoni,et al.  Underground Incrementally Deployed Magneto-Inductive 3-D Positioning Network , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[42]  Andrew Markham,et al.  Magnetic Induction-Based Positioning in Distorted Environments , 2016, IEEE Transactions on Geoscience and Remote Sensing.