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A Novel Data Mining Approach for Soil Classification

A Novel Data Mining Approach for Soil Classification

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A Novel Data Mining Approach for Soil Classification

consider a cognitive radio wireless sensor network (CR -WSN), where each sensor node is equipped with cognitive radio. A typical concern in CR-WSN is energy consumption due to resource-constrained nature of sensor nodes. Moreover, additional energy is consumed in a CR-WSN to support CR-exclusive functionality such as spectrum sensing and switching, which could shorten sensor node lifetime. However, some sensor nodes could receive similar signal due to similar channel condition such that they probably have same spectrum sensing results. Consequently, we propose a clustering based scheme for spectrum sensing in CR-WSN, which reduces energy consumption by involving less nodes in spectrum sensing. With our improved clustering algorithm, sensor nodes are grouped into different sets based on their similarity in sensing result. In order to identify the optimal cluster number, a new objective function, based on new intra-cluster and inter-cluster proximity meas


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  • Model: PROJ7603
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

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This product was added to our catalog on Tuesday 08 August, 2017.