Unselfish Cooperative Game-Based Communication Optimization of ECG Monitoring Network

Lanmei Qian, Haifei Zhang, Huazhen Xu, Hongyun Chen
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引用次数: 1

Abstract

With the increasing incidence rate of cardiovascular diseases, the prevention and treatment of heart disease has been highly concerned. people have developed a variety of real-time ECG monitoring systems, and some even built a wireless sensor network (WSN) suitable for ECG monitoring to early detect and treat heart disease in time. ECG monitoring network is a special kind of wireless body area network based on IEEE802.15.4 communication protocol. To study the communication technology of ECG monitoring network is of great importance. The communication mechanism and data frame structure are analyzed, and the node energy efficiency model and transmission delay model are established; A unselfish cooperative game algorithm combined with light and low profit operator is proposed to overcome the conflict between energy consumption and time delay and realize the balance between them. Experiments showed that the proposed algorithm could effectively reach equilibrium of the two targets. Moreover, compared with Multi-objective Evolutionary Algorithm and Evolutionary cooperative game Algorithm, it had better performance in convergence speed and global convergence.
基于无私合作博弈的心电监测网络通信优化
随着心血管疾病发病率的不断上升,心脏病的预防和治疗一直受到人们的高度关注。人们开发了各种各样的实时心电监测系统,有的甚至建立了适合于心电监测的无线传感器网络(WSN),以便及早发现和及时治疗心脏病。心电监护网络是基于IEEE802.15.4通信协议的一种特殊的无线体域网络。研究心电监测网络的通信技术具有十分重要的意义。分析了通信机制和数据帧结构,建立了节点能量效率模型和传输延迟模型;为了克服能耗和时延之间的冲突,实现两者之间的平衡,提出了一种结合轻利润和低利润算子的无私合作博弈算法。实验表明,该算法能有效地达到两个目标的平衡。此外,与多目标进化算法和进化合作博弈算法相比,该算法在收敛速度和全局收敛性方面具有更好的性能。
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