TY - JOUR
T1 - Channel model and analysis for wireless underground sensor networks in soil medium
AU - Vuran, Mehmet C.
AU - Akyildiz, Ian F.
N1 - Funding Information:
Currently, he is an Assistant Professor in the Department of Computer Science and Engineering at the University of Nebraska–Lincoln and director of Cyber-Physical Networking Laboratory. Dr. Vuran received the NSF CAREER award in 2010. He has received numerous academic honors, including the 2010 Maude Hammond Fling Faculty Interdisciplinary Research Fellowship from the UNL Research Council and the 2007 ECE Graduate Research Assistant Excellence Award from Georgia Tech’s School of Electrical and Computer Engineering. He is an associate editor of Computer Networks Journal and Journal of Sensors. He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and the IEEE Communication Society. His current research interests include cross-layer design and analysis, wireless sensor networks, underground sensor networks, cognitive radio networks, and deep space communication networks.
PY - 2010/12
Y1 - 2010/12
N2 - Wireless underground sensor networks (WUSNs) constitute one of the promising application areas of the recently developed wireless sensor networking techniques. The main difference between WUSNs and the terrestrial wireless sensor networks is the communication medium. The propagation characteristics of electromagnetic (EM) waves in soil and the significant differences between propagation in air prevent a straightforward characterization of the underground wireless channel. To this end, in this paper, advanced channel models are derived to characterize the underground wireless channel and the foundational issues for efficient communication through soil are discussed. In particular, the underground communication channel is modeled considering not only the propagation of EM waves in soil, but also other effects such as multipath, soil composition, soil moisture, and burial depth. The propagation characteristics are investigated through simulation results of path loss between two underground sensors. Moreover, based on the proposed channel model, the resulting bit error rate is analyzed for different network and soil parameters. Furthermore, the effects of variations in soil moisture are investigated through field measurement results. The theoretical analysis and the simulation results prove the feasibility of wireless communication in underground environment and highlight several important aspects in this field. This work will lead to the provision of a generic framework for underground wireless communication and the realization of WUSNs.
AB - Wireless underground sensor networks (WUSNs) constitute one of the promising application areas of the recently developed wireless sensor networking techniques. The main difference between WUSNs and the terrestrial wireless sensor networks is the communication medium. The propagation characteristics of electromagnetic (EM) waves in soil and the significant differences between propagation in air prevent a straightforward characterization of the underground wireless channel. To this end, in this paper, advanced channel models are derived to characterize the underground wireless channel and the foundational issues for efficient communication through soil are discussed. In particular, the underground communication channel is modeled considering not only the propagation of EM waves in soil, but also other effects such as multipath, soil composition, soil moisture, and burial depth. The propagation characteristics are investigated through simulation results of path loss between two underground sensors. Moreover, based on the proposed channel model, the resulting bit error rate is analyzed for different network and soil parameters. Furthermore, the effects of variations in soil moisture are investigated through field measurement results. The theoretical analysis and the simulation results prove the feasibility of wireless communication in underground environment and highlight several important aspects in this field. This work will lead to the provision of a generic framework for underground wireless communication and the realization of WUSNs.
KW - Channel modeling
KW - Soil composition
KW - Underground communication
KW - Volumetric water content
KW - Wireless underground sensor networks
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U2 - 10.1016/j.phycom.2010.07.001
DO - 10.1016/j.phycom.2010.07.001
M3 - Article
AN - SCOPUS:78649713838
SN - 1874-4907
VL - 3
SP - 245
EP - 254
JO - Physical Communication
JF - Physical Communication
IS - 4
ER -