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Probabilistic Relational Model-based Scheduling Approach for Farmland Soil Sensor Network
L. Chen, R. Zhang, G. Xu
National Engineering Research Center for Information Technology in Agriculture
  Energy efficiency is one of the core issues of farmland soil sensor network (FSSN). For battery powered FSSN, the energy constraint restricts lifetime of WSN, which poses great challenged to its large scale application. Prior work has suggested approaches to optimize the RF module and communication protocols to reduce power consumption of FSSN. Although shown to be effective in some ones, those approaches just focus on lower the radio communication cost and the sensor power consumption is high enough not to be neglected in FSSN. In this paper, we propose a probabilistic relational model-based scheduling approach, which is applicable to real FSSN. Characters of soil parameter have been analyzed and a probabilistic relational model has been proposed, which is used to forecast one sensor output in future and conclude another sensor output on some ones. Then the calculated results are used to schedule sampling process. It proved that the approach is effective. The simulation results show that the proposed approach can save energy effectively and has less effect on other performances of the network.
Keyword: Wireless sensor network, Model-based Scheduling Approach, Soil monitor
L. Chen    R. Zhang    G. Xu    Engineering Technologies and Advances    Poster    2012
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