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Energy-efficient communications is crucial for wireless sensor networks (WSN) where energy consumption is constrained. The transmission and reception energy can be saved by applying network coding to many wireless communications systems. In this paper, we present a coded cooperation scheme which employs network coding to WSN. In the scheme, the partner node forwards the combination of the
source data and its own data instead of sending the source data alone. Afterward, both of the system block error rates (BLERs) and energy performance are evaluated. Experiment results show that the proposed scheme has higher energy efficiency. When Noise power spectral density is -171dBm/Hz, the energy consumption of the coded cooperation scheme is 81.1% lower than that of the single-path scheme, 43.9% lower than that of the cooperation scheme to reach the target average BLER of 10-2. When the channel condition is getting worse, the energy saving effect is more obvious. 相似文献
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随着车联网(IoV)中车辆和智能应用数目的增加使计算密集型任务激增,传统架构难以满足用户需求。为解决车联网计算资源不足且分配不均匀、应用时延需求无法满足、任务能耗成本较高的问题,结合移动边缘计算(MEC)和软件定义网络(SDN),设计了一种从宏基站到MEC服务器到车辆的车联网架构中的高效任务卸载方案,并提出一种改进的低复杂度非支配排序遗传算法,优化任务卸载成本和MEC服务器的负载均衡率。实验仿真结果表明,相比于随机卸载,NO-MEC卸载,NO-I卸载,传统NSGA、NSGA-Ⅱ卸载,GA卸载,Q-learning卸载,DQN卸载方案,所提方案有着更低的卸载成本,更优的负载均衡率,得到近似最高的系统效用,能够给车联网中的车辆用户带来更优质的网络服务。 相似文献
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