Özet:

In this paper, fuzzy logic based collector station decision approach is proposed in order to provide lossless data transmission in underground wireless sensor networks. With the aim of allowing the sensor nodes to transmit energy-efficient lossless data, the decision of the collector station is performed with the help of fuzzy logic. The simulation model of the proposed underground wireless sensor network was performed using Riverbed software. Fuzzy logic-based decision processing was performed by using Matlab software. In the fuzzy logic system; collector station decision output value is obtained by evaluating energy, depth and usage input parameters. The proposed underground wireless sensor network performance is evaluated by examining the throughput and energy consumption parameters which are commonly used in wireless sensor networks. When the results are examined to evaluate the proposed sensor network performance, it is revealed that lossless data transmission is performed in underground wireless sensor networks with maximum throughput performance and average energy consumption. Thanks to the proposed fuzzy logic system; the most suitable collector station is selected for wireless sensor networks and energy consumption is kept at the lowest possible level.

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