@proceedings {88,
	title = {Spatio-temporal Soil Moisture Measurement with Wireless Underground Sensor Networks},
	journal = {Ad Hoc Networking Workshop, 2010. Med-Hoc-Net 2010. 9th IFIP Annual Mediterranean},
	year = {2010},
	month = {Jun. 2010},
	address = {Juan-les-pins, France},
	abstract = {In this paper, the estimation distortion of distributed
soil moisture measurement using Wireless Underground Sensor
Networks (WUSNs) is investigated. The main focus of this
paper is to analyze the impact of the environment and network
parameters on the estimation distortion of the soil moisture.More
specifically, the effects of rainfall, soil porosity, and vegetation
root zone are investigated by exploiting a rainfall model, in
addition to the effects of sampling rate, network topology, and
measurement signal noise ratio. Spatio-temporal correlation is
characterized to develop a measurement distortion model with
respect to these factors. The evaluations reveal that with porous
soil and shallow vegetation roots, high sampling rate is required
for sufficient accuracy. In addition, the impact of rainfall on
the estimation distortion has also been investigated. In a storm,
which carries on a large area and lasts for a long time, the
estimation distortion is decreased because of the increase in
spatial correlation. Moreover, only few closest sensors are needed
to estimate the values of an interested location. These findings
are utilized to guide the design of WUSNs for soil moisture
measurement to reduce the density of network and the sampling
rate of the sensors but at the same time maintain the performance
of the system. Moreover, guidelines for designing WUSNs for
soil moisture measurement are provided. To the best of our
knowledge, this is the first work that establishes tight relations
between environmental effects and distributed measurement in
WUSNs.},
	attachments = {http://cse.unl.edu/~cpn/system/files/soilMoisture.pdf},
	author = {Xin Dong and Mehmet C. Vuran}
}
