Exploiting soil moisture information for adaptive error control in wireless underground sensor networks

Wireless underground sensor networks (WUSNs) have recently been investigated for a wide range of applications. One challenge in wireless underground communications is its high bit error rate, especially at long distances. In WUSNs, the communication quality is substantially affected by the environment, especially the soil moisture. Thus, the underground channel quality can be effectively estimated based on local soil moisture readings. By utilizing the local soil moisture values to estimate the channel quality, adaptive error control mechanisms can be implemented for underground nodes. In this paper, two error control mechanisms, adaptive-rate forward error control and adaptive transmit power control, are considered for WUSNs. The results indicate that compared to ARQ, adaptive FEC code can increase the ranges of soil moisture values within which the network is reliable by reducing the bit error rate. In addition, adaptive transmit power control can improve energy efficiency when a wide range of transmit power levels is available. Our evaluations show that to achieve 60m communication distance in practical soil settings, the output power of the transmitter should to be adjusted in a range of 0dBm to 25dBm to improve the energy efficiency of the underground nodes.

[1]  Xin Dong,et al.  Empirical analysis of the hidden terminal problem in Wireless Underground Sensor Networks , 2012, 2012 International Conference on Wireless Communications in Underground and Confined Areas.

[2]  Steven W. McLaughlin,et al.  Rate-compatible punctured low-density parity-check codes with short block lengths , 2006, IEEE Transactions on Information Theory.

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

[4]  Heye Bogena,et al.  Hybrid Wireless Underground Sensor Networks: Quantification of Signal Attenuation in Soil , 2009 .

[5]  Mehmet Can Vuran,et al.  Communication with Aboveground Devices in Wireless Underground Sensor Networks: An Empirical Study , 2010, 2010 IEEE International Conference on Communications.

[6]  Mehmet Can Vuran,et al.  Mobile data harvesting in wireless underground sensor networks , 2012, 2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON).

[7]  Fawwaz T. Ulaby,et al.  Dielectric properties of soils in the 0.3-1.3-GHz range , 1995, IEEE Trans. Geosci. Remote. Sens..

[8]  Johannes Tiusanen,et al.  Attenuation of a Soil Scout Radio Signal , 2005 .

[9]  Salman Kahrobaee,et al.  Vibration energy harvesting for wireless underground sensor networks , 2013, 2013 IEEE International Conference on Communications (ICC).

[10]  Mehmet Can Vuran,et al.  Empirical Evaluation of Wireless Underground-to-Underground Communication in Wireless Underground Sensor Networks , 2009, DCOSS.

[11]  Ian F. Akyildiz,et al.  Author's Personal Copy Physical Communication Channel Model and Analysis for Wireless Underground Sensor Networks in Soil Medium , 2022 .

[12]  Xin Dong,et al.  Environment aware connectivity for wireless underground sensor networks , 2013, 2013 Proceedings IEEE INFOCOM.

[13]  Christian Schlegel,et al.  Error Control Coding in Low-Power Wireless Sensor Networks: When Is ECC Energy-Efficient? , 2006, EURASIP J. Wirel. Commun. Netw..

[14]  C. Johnk,et al.  Engineering Electromagnetic Fields and Waves , 1975 .

[15]  Chris Jones,et al.  Rate-compatible low-density parity-check codes , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

[16]  Rüdiger L. Urbanke,et al.  The capacity of low-density parity-check codes under message-passing decoding , 2001, IEEE Trans. Inf. Theory.

[17]  Ian F. Akyildiz,et al.  Error Control in Wireless Sensor Networks: A Cross Layer Analysis , 2009, IEEE/ACM Transactions on Networking.

[18]  Faramarz Fekri,et al.  Finite-length rate-compatible LDPC codes: a novel puncturing scheme - [transactions letters] , 2009, IEEE Transactions on Communications.

[19]  Suat Irmak,et al.  Autonomous precision agriculture through integration of wireless underground sensor networks with center pivot irrigation systems , 2013, Ad Hoc Networks.