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A novel energy-efficient routing scheme based on Artificial Bee Colony Algorithm in Wireless Body Area Networks

机译:无线人体局域网中一种基于人工蜂群算法的节能路由新方案

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In the field of health care, the Wireless Body Area Networks(WBANs), through placed miniaturization, low power consumption of sensor nodes in patient's body or on the surface to measure a variety of physiological parameters, to monitor or diagnose the health of human body. However, in this process, WBANs nodes usually use batteries, especially for implantable flexible node it is difficult to accomplish the replacement of batteries, the energy that the node can carry is very limited, so the efficient use of energy is the most important problem to consider when designing WBANs routing algorithm. By considering the factors such as residual energy of node, the importance level of node, path cost and path energy difference ratio, this paper gives the definition of Optimal Path of Energy Consumption(OPEC) in WBANs, and The Optimal Energy Consumption Artificial Bee Colony(ABC) Based WBANs(OEABC) is designed. The performance simulation is carried out to verify the effectiveness of the OEABC, compared with Genetic Algorithm and Ant Colony Algorithm, it shows that t the OEABC has a fast convergence rate.
机译:在医疗保健领域,无线人体局域网(WBAN)通过放置在患者体内或表面上的微型化,低功耗的传感器节点来测量各种生理参数,以监视或诊断人体健康。但是,在此过程中,WBAN节点通常使用电池,特别是对于可植入的柔性节点,很难完成电池的更换,该节点可携带的能量非常有限,因此能量的有效利用是最重要的问题。设计WBAN路由算法时要考虑。通过考虑节点剩余能量,节点重要性水平,路径成本和路径能量差比等因素,给出了WBAN中最佳能量消耗路径(OPEC)和最佳能量消耗人工蜂群的定义。 (ABC)设计了基于WBAN(OEABC)的软件。通过性能仿真验证了OECAB的有效性,与遗传算法和蚁群算法相比,表明OECAB具有较快的收敛速度。

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