认知无线电传感器网络中能量有效的感知策略

Energy Efficient Sensing Strategy for Cognitive Radio Sensor Networks

将认知无线电技术引入无线传感器网络(WSN),可以使传感器节点在不影响主用户正常通信的前提下,利用频谱空穴来满足自身的通信需求。虽然切换到合适的信道能够降低传输能耗,但是感知过程不可避免的带来一定的额外能耗,因此如何对频谱进行感知来降低节点的总能耗是一个至关重要的问题。在基于离散马尔可夫链的信道占用模型基础上,根据信道状态的n步转移概率,提出了一种由当前感知结果来决定下一次感知时刻的感知策略。仿真结果表明,相对传统无感知过程的WSN以及先感知后传输的策略,有效地降低了能耗。

Incorporating cognitive radio capability into wireless sensor networks（ WSN） enables the sensor nodes to use spectrum hole to meet their communication demands without causing interference to primary users. Switching to the appropriate channel for data transmission can reduce energy consumption,however the sensing process inevitably brings some extra energy consumption,and therefore how to sense the spectrum to reduce the total energy consumption is a crucial problem. Based on the discrete Markov chain modeled channel,the n-step transition probability of the channel state change is used to define the next sensing time according to the current sensing result. Simulation results show that the strategy can effectively reduce the energy consumption compared with traditional WSN with no sensing process and the strategy that listen before talk.