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Bio-Inspired Distributed Transmission Power Control Considering QoS Fairness in Wireless Body Area Sensor Networks

机译:无线人体区域传感器网络中考虑QoS公平性的生物启发式分布式传输功率控制

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摘要

Recently, the development of wireless body area sensor network (WBASN) has accelerated due to the rapid development of wireless technology. In the WBASN environment, many WBASNs coexist where communication ranges overlap with each other, resulting in the possibility of interference. Although nodes in a WBASN typically operate at a low power level, to avoid adversely affecting the human body, high transmission rates may be required to support some applications. In addition to this, since many varieties of applications exist in the WBASN environment, each prospective user may have different quality of service (QoS) requirements. Hence, the following issues should be considered in the WBASN environment: (1) interference between adjacent WBASNs, which influences the performance of a specific system, and (2) the degree of satisfaction on the QoS of each user, i.e., the required QoS such as user throughput should be considered to ensure that all users in the network are provided with a fair QoS satisfaction. Thus, in this paper, we propose a transmission power adjustment algorithm that addresses interference problems and guarantees QoS fairness between users. First, we use a new utility function to measure the degree of the satisfaction on the QoS for each user. Then, the transmission power of each sensor node is calculated using the Cucker–Smale model, and the QoS satisfaction of each user is synchronized dispersively. The results of simulations show that the proposed algorithm performs better than existing algorithms, with respect to QoS fairness and energy efficiency.
机译:近来,由于无线技术的迅速发展,无线人体区域传感器网络(WBASN)的发展加速了。在WBASN环境中,许多WBASN共存,通信范围相互重叠,从而可能产生干扰。尽管WBASN中的节点通常以低功率运行,但为避免对人体造成不利影响,可能需要高传输速率来支持某些应用程序。除此之外,由于WBASN环境中存在多种应用程序,因此每个潜在用户可能具有不同的服务质量(QoS)要求。因此,在WBASN环境中应考虑以下问题:(1)相邻WBASN之间的干扰,这会影响特定系统的性能;(2)对每个用户的QoS的满意程度,即所需的QoS应该考虑使用诸如用户吞吐量之类的方法,以确保为网络中的所有用户提供公平的QoS满意度。因此,在本文中,我们提出了一种传输功率调整算法,该算法可解决干扰问题并确保用户之间的QoS公平性。首先,我们使用新的效用函数来衡量每个用户对QoS的满意度。然后,使用Cucker-Smale模型计算每个传感器节点的传输功率,并且分散分散同步每个用户的QoS满意度。仿真结果表明,该算法在QoS公平性和能效方面均优于现有算法。

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