由于用户的增多,导致智能电网的频谱资源紧张,严重影响了智能电网运行的稳定性,同时也降低了供电能力。为了解决这一问题,提出基于CRSN的智能电网资源跨层分配算法改进研究。将认知无线传感器网络(Cognitive Radio Sensor Networks,CRSN...由于用户的增多,导致智能电网的频谱资源紧张,严重影响了智能电网运行的稳定性,同时也降低了供电能力。为了解决这一问题,提出基于CRSN的智能电网资源跨层分配算法改进研究。将认知无线传感器网络(Cognitive Radio Sensor Networks,CRSN)引入智能电网中,通过认知节点感知智能电网主用户的频谱资源,找出可用的空闲频谱。借助图论着色将智能电网资源进行跨层分配建模,利用改进猫群算法求取分配模型最优解,得到智能电网资源跨层分配方案。实验结果表明,所研究算法求解到的方案是全局最优解,能够实现智能电网频谱资源的跨层分配。展开更多
Cognitive radio sensor network is applied to facilitate network monitoring and management, and achieves high spectrum efficiencies in smart grid. However, the conventional traffic scheduling mechanisms are hard to pro...Cognitive radio sensor network is applied to facilitate network monitoring and management, and achieves high spectrum efficiencies in smart grid. However, the conventional traffic scheduling mechanisms are hard to provide guaranteed quality of service for the secondary users. It is because that they ignore the influence of diverse transition requirements in heterogeneous traffi c. Therefore, a novel Qo S-aware packet scheduling mechanism is proposed to improve transmission quality for secondary users. In this mechanism, a Qo S-based prioritization model is established to address data classification firstly. And then, channel quality and the effect of channel switch are integrated into priority-based packet scheduling mechanism. At last, the simulation is implemented with MATLAB and OPNET. The results show that the proposed scheduling mechanism improves the transmission quality of high-priority secondary users and increase the whole system utilization by 10%.展开更多
文摘由于用户的增多,导致智能电网的频谱资源紧张,严重影响了智能电网运行的稳定性,同时也降低了供电能力。为了解决这一问题,提出基于CRSN的智能电网资源跨层分配算法改进研究。将认知无线传感器网络(Cognitive Radio Sensor Networks,CRSN)引入智能电网中,通过认知节点感知智能电网主用户的频谱资源,找出可用的空闲频谱。借助图论着色将智能电网资源进行跨层分配建模,利用改进猫群算法求取分配模型最优解,得到智能电网资源跨层分配方案。实验结果表明,所研究算法求解到的方案是全局最优解,能够实现智能电网频谱资源的跨层分配。
基金supported by the State Grid Technology Project of China(SGIT0000 KJJS1500008)
文摘Cognitive radio sensor network is applied to facilitate network monitoring and management, and achieves high spectrum efficiencies in smart grid. However, the conventional traffic scheduling mechanisms are hard to provide guaranteed quality of service for the secondary users. It is because that they ignore the influence of diverse transition requirements in heterogeneous traffi c. Therefore, a novel Qo S-aware packet scheduling mechanism is proposed to improve transmission quality for secondary users. In this mechanism, a Qo S-based prioritization model is established to address data classification firstly. And then, channel quality and the effect of channel switch are integrated into priority-based packet scheduling mechanism. At last, the simulation is implemented with MATLAB and OPNET. The results show that the proposed scheduling mechanism improves the transmission quality of high-priority secondary users and increase the whole system utilization by 10%.
