Overview of wireless underground sensor networks for agriculture

In recent years, many applications have been proposed for wireless sensor networks (WSN). One of these is agriculture, where WSN can play an important role in the handling and management of water resources for agricultural irrigation and so on. The WSN suffer from intensive human involvement and delay of information. This paper shows that the wireless underground sensor networks (WUSN), which communicates in the soil is different from the terrestrial WSN. WUSN devices are deployed completely below ground and do not require any wired connections. Each device contains all necessary sensors, memory, a processor, a radio, an antenna and a power source. Here, the WUSN architecture for agriculture information system is introduced. The framework to deploy and operate the WUSN is developed. Based on the framework, WUSN in different frequency, buried depth and volumetric water content of soil are tested and results are discussed. Key words : Wireless sensor networks (WSN), information collection, agriculture, wireless underground sensor networks (WUSN), buried depth, sensor node.

[1]  H. Vereecken,et al.  Evaluation of a low-cost soil water content sensor for wireless network applications , 2007 .

[2]  Qin Li-feng Application of Wireless Sensor Network in Field Water-Saving Irrigation System , 2012 .

[3]  Noman Islam,et al.  A review of wireless sensors and networks' applications in agriculture , 2014, Comput. Stand. Interfaces.

[4]  E.P. Stuntebeck,et al.  Wireless underground sensor networks using commodity terrestrial motes , 2006, 2006 2nd IEEE Workshop on Wireless Mesh Networks.

[5]  Piotr Berman,et al.  Power efficient monitoring management in sensor networks , 2004, 2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No.04TH8733).

[6]  Li Li,et al.  Energy Efficient Optimization of Clustering Algorithm in Wireless Sensor Network: Energy Efficient Optimization of Clustering Algorithm in Wireless Sensor Network , 2011 .

[7]  Paul J.M. Havinga,et al.  A new wireless underground network system for continuous monitoring of soil water contents , 2009 .

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

[9]  Pedro Sánchez,et al.  Wireless Sensor Networks for precision horticulture in Southern Spain , 2009 .

[10]  Antonio Mauro Saraiva,et al.  From wireless sensors to field mapping: Anatomy of an application for precision agriculture , 2007 .

[11]  Ian F. Akyildiz,et al.  Channel Modeling of Wireless Networks in Tunnels , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[12]  Xin Dong,et al.  Spatio-temporal soil moisture measurement with wireless underground sensor networks , 2010, 2010 The 9th IFIP Annual Mediterranean Ad Hoc Networking Workshop (Med-Hoc-Net).

[13]  ChessaStefano,et al.  Wireless sensor networks , 2007 .

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

[15]  David Simplot-Ryl,et al.  Energy-efficient area monitoring for sensor networks , 2004, Computer.

[16]  Stefano Chessa,et al.  Wireless sensor networks: A survey on the state of the art and the 802.15.4 and ZigBee standards , 2007, Comput. Commun..

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

[18]  Nathan Ickes,et al.  Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks , 2001, MobiCom '01.

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

[20]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[21]  Ole Green,et al.  Monitoring and modeling temperature variations inside silage stacks using novel wireless sensor networks , 2009 .

[22]  Liu Gang,et al.  Design and test of nodes for farmland data acquisition based on wireless sensor network. , 2009 .