认知无线传感网中一种高能效的频谱感知周期优化算法

An Energy Efficient Spectrum Sensing Period Optimization Algorithm in Cognitive Radio Sensor Networks

为了提高认知无线传感网中节点的频谱感知能效,提出了一种高效的频谱感知周期优化算法。该方法通过引入贪婪因子来减少节点感知信道的次数,进而达到降低感知能耗的目的。在碰撞概率和等待时延的约束下,节点在与信道的交互过程中实现对感知周期的动态修正,达到了对信道状态的自适应高效感知。仿真结果表明,在不同的信道占用状态条件下,该算法相比固定感知周期的方法,有效地提高了感知能效,适于在认知无线传感网中实施。

In order to improve the efficiency of spectrum sensing in cognitive radio sensor networks,an energy efficient spectrum sensing period optimization algorithm is proposed. The greedy factor is introduced to reduce the times of spectrum sensing so that the power of this method is lower than conventional ones. With the constraint of collision probability and waiting delay,the sensing period is adaptive adjusted through the interaction with channel. The simulation results show that,with different distributed parameter of channel state,this algorithm can effectively improve the efficiency of spectrum sensing,comparing with fixed periodical sensing method. And it is enforceable for cognitive radio sensor networks.