Owing to the spectrum scarcity and energy constrained devices in wireless networks arises the demand for an efficient spectrum sensing technique which improves both sensing performance and energy efficiency for cognitive radio networks. This paper proposes a cooperative spectrum sensing scheduling (CSSS) scheme for heterogeneous multi-channel cognitive radio networks with the objective of finding an efficient sensing schedule to enhance network utility while keeping the energy depletion at a lower level. We start with formulating the CSSS problem as an optimization problem, which captures both the energy-performance and performance opportunity trade-offs. We prove that the formulated CSSS problem is non-deterministic polynomial hard (NP-hard). To tackle the higher computational complexity of the formulated problem, we propose a greedy-based heuristic solution, which produces a sub-optimal result in polynomial time. To reduce energy consumption during spectrum sensing, we make secondary users to adaptively decide on the sensing duration based on the received signal-to-noise ratio (SNR), where higher SNR leads to lower sensing duration and vice-versa. For enhancing network throughput, SUs sense multiple channels in the order of their suitability for data transmission to explore as many numbers of channels as possible within the permitted maximum sensing time. We consider erroneous nature of reporting channel to make the cooperative decision robust against errors during reporting. Simulation based results show the effectiveness of the proposed scheme in terms of utility, energy overhead, and the number of channels explored compared to similar schemes from literature.

由于无线网络中的频谱稀缺和能量受限的设备，因此需要一种有效的频谱感测技术，该技术可以提高认知无线电网络的感测性能和能量效率。本文提出了一种用于异构多​​信道认知无线电网络的协作频谱感知调度（CSSS）方案，其目的是找到一种有效的感知调度，以增强网络效用，同时将能量消耗保持在较低水平。我们首先将CSSS问题表述为优化问题，它同时考虑了能源绩效与绩效机会之间的权衡。我们证明了公式化的CSSS问题是非确定性的多项式硬（NP-hard）。为了解决公式化问题的较高计算复杂性，我们提出了一个基于贪婪的启发式解决方案，该解决方案在多项式时间内产生了次优的结果。为了减少频谱感测期间的能耗，我们让次级用户根据接收到的信噪比（SNR）自适应地决定感测时间，其中较高的SNR会导致较短的感测时间，反之亦然。为了提高网络吞吐量，SU会按照其适合数据传输的顺序来感测多个通道，以在允许的最大感测时间内探索尽可能多的通道。我们认为报告渠道的错误性质会使合作决策对报告期间的错误具有鲁棒性。基于仿真的结果表明，该方案在实用性，能源开销，