Energy efficient cooperative sensing in cognitive radio sensor networks
Energy efficient cooperative sensing in cognitive radio sensor networks
复制标题
DOI：
10.1109/wcsp.2014.6992169
复制
发表时间：
2014-12
期刊：
影响因子：
--
通讯作者：
Wei Yang
中科院分区：
文献类型：
--
作者：
Wei Yang
在认知无线电传感器网络中，基本任务之一是通过多个认知无线电（CR）传感器进行协作频谱感知，以提高频谱检测性能。然而，在每个协作传感过程中，所选传感器通过本地传感、数据报告和数据融合活动会消耗额外的能量。因此，协作传感过程需要能源效率。本文研究了与节能协作传感问题相关的两个实际优化问题。其中一个重点是在单个过程中选择传感器，目标是在实现预期传感性能的同时最大限度地减少总能耗。另一个是在线问题，它为每个进程调度参与者传感器，目的是使网络能够执行尽可能多的协作感知进程，从而延长网络寿命。由于所提出问题的 NP 难度，我们分别为它们提出了启发式算法。大量的模拟实验证明了所提出算法的有效性。使用所提出的算法，可以实现更多的协作感知过程，并且可以显着延长网络寿命。
In cognitive radio sensor networks, one of the fundamental tasks is cooperative spectrum sensing by multiple cognitive radio (CR) sensors to improve the spectrum detection performance. However, during each cooperative sensing process, extra energy is consumed by the selected sensors through local sensing, data reporting, and data fusion activities. Thus, cooperative sensing processes call for energy efficiency. This paper investigates two practical optimization problems related to energy efficient cooperative sensing issue. One focuses on the sensors selection in a single process, with the objective to minimize the total energy consumption meanwhile the expected sensing performances are achieved. The other is an online problem, which schedules participant sensors for each process with the aim to enable the network to perform as many as cooperative sensing processes, therefore increasing the network lifetime. Due to the NP-hardness of the proposed problems, we propose heuristic algorithms for them respectively. Extensive experiments by simulations demonstrate the effectiveness of the proposed algorithms. Using the proposed algorithms, more cooperative sensing processes can be realized and the network lifetime can be extended significantly.