Sensing Nodes Selective Fusion Scheme of Spectrum Sensing in Spectrum-Heterogeneous Cognitive Wireless Sensor Networks

Abstract

A new spectrum sensing scheme based on spatial-temporal opportunity detection is proposed in this paper. To verify the practicability and validity of the method, we proposed a more real 2-D cognitive wireless sensor network (CWSN) topology model, where the primary signal transmitter is distributed in a given sensing area randomly at each iteration. The proposed 2-D sensing nodes selective fusion scheme consists of three main sensing steps: non-cooperative spectrum sensing for all wireless sensor nodes, location estimation, and the decision fusion of selected sensing nodes. One other thing to note is the limitation of energy in CWSN. To save more energy, a sensing nodes selection procedure for energy sufficiency is used to address the problem of too much energy consumption of direct transmissions to the fusion center. Simulation results show that the proposed scheme not only has a desirable property to process the spectrum-heterogeneous problem in spatial-temporal 2-D sensing environment but shows satisfactory detection performance with less energy consumption as well.