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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Bacteria Interactive Cost and Balanced-Compromised Approach to Clustering and Transmission Boundary-Range Cognitive Routing In Mobile Heterogeneous Wireless Sensor Networks
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Bacteria Interactive Cost and Balanced-Compromised Approach to Clustering and Transmission Boundary-Range Cognitive Routing In Mobile Heterogeneous Wireless Sensor Networks

机译：移动异构无线传感器网络中细菌交互成本和平衡妥协的聚类和传输边界距离认知路由方法

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The improvement of stable, energy-efficient mobile-based clustering and routing protocols in wireless sensor networks (WSNs) has become indispensable so as to develop large-scale, versitale, and adaptive applications. Data is gathered more efficiently and the total path length is shortened optimally by means of mobile sink (MS). Two algorithms as bacterial interaction based cluster head (CH) selection and energy and transmission boundary range cognitive routing algorithm with novel approach for heterogeneous mobile networks are proposed in this study. The more reliable and powerful CH selection is made with the greedy approach that is based on the interaction fitness value, energy node degree, and distance to adjacent nodes in a compromised manner. The best trajectories, thanks to intersection edge points of the visited CHs, are obtained in the proposed routing algorithm. In this way, the MS entry to transmission range boundaries of the CH has been a sufficient strategy to collect information. As in energy model, we adopt energy consumption costs of listening and sensing channel as well as transmit and receive costs. Comprehensive performance analyzes have been seriously carried out via the Matlab 2016a environment. We validate that the proposed scheme outperforms existing studies in terms of several performance metrics as simulations.
机译：在无线传感器网络（WSN）中，稳定，高能效的基于移动设备的群集和路由协议的改进已变得不可或缺，以便开发大规模，多功能和自适应的应用程序。通过移动接收器（MS）可以更有效地收集数据，并以最佳方式缩短总路径长度。本文提出了两种基于细菌相互作用的簇头选择算法和能量与传输边界范围认知路由算法，并针对异构移动网络提出了两种新方法。通过贪婪方法，可以更可靠，更强大地选择CH，该方法基于交互适应性值，能量节点度以及以折衷的方式与相邻节点的距离。在所提出的路由算法中，由于拜访的CH的相交边缘点，获得了最佳轨迹。这样，MS进入CH的传输范围边界已成为收集信息的足够策略。与能量模型一样，我们采用侦听和感知通道的能耗成本以及发送和接收成本。已通过Matlab 2016a环境认真进行了全面的性能分析。我们验证了所提出的方案在模拟性能等方面优于现有研究。

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