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A fuzzy logic scheme for real-time routing in wireless sensor networks

机译:无线传感器网络中实时路由的模糊逻辑方案

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Real-time communications is still remain a major research challenge due to the limited energy supply, limited computing power, and limited bandwidth of the wireless links connecting sensor nodes in wireless sensor networks (WSNs). Due to these limitations, sensor nodes are not powerful enough to accommodate the complexity of the real-time WSNs protocol. In real-time WSNs, to increase reliability of data delivery the high hit rate and reduction of packet losses is required. To solve these problems, we proposed a new fuzzy controller based routing algorithm to optimize real-time communication in WSNs. The main objectives of the proposed fuzzy controller are 1) to reduce energy consumption among nodes in order to increase network lifetime, 2) to meet real-time packet deadline, reduce end-to-end delay and packet losses. Furthermore, the proposed scheme adjusting the transmission range of surplus nodes to shortened end-to-end delay. We show through extensive simulation results that our proposed fuzzy algorithm considerably reduces energy consumption and noticeable improved real-time performance in comparison with existing schemes.
机译:由于有限的能量供应,有限的计算能力以及连接无线传感器网络(WSN)中传感器节点的无线链路的带宽有限,实时通信仍然是主要的研究挑战。由于这些限制,传感器节点的功能不足以适应实时WSN协议的复杂性。在实时WSN中,要提高数据传输的可靠性,就需要高命中率并减少数据包丢失。为了解决这些问题,我们提出了一种新的基于模糊控制器的路由算法,以优化无线传感器网络中的实时通信。所提出的模糊控制器的主要目标是:1)减少节点之间的能耗以延长网络寿命; 2)满足实时数据包的最终期限,减少端到端的延迟和数据包丢失。此外,提出的方案将剩余节点的传输范围调整为缩短的端到端延迟。通过广泛的仿真结果表明,与现有方案相比,我们提出的模糊算法可显着降低能耗并显着提高实时性能。

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