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A misdirected route avoidance using random waypoint mobility model in wireless sensor network

机译：在无线传感器网络中使用随机航路点移动模型的误导路径避免

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In this paper, a novel method is proposed to reduce the number of route misdirection to increase network throughput. This method increases the network throughput by accurately sending the packets from source node to destination node without any packet loss, which ensures Quality of Services (QoS) routing services. These metrics are used for making better routing decisions to avoid the packets being misrouted in the network. The proposed method operates under two phases: flow control and QoS routing phase. Wireless sensor network dynamically changes its topological structure since the path between source and destination nodes varies at the rapid instance of time. Hence, the flow control phase is used to adjust the packet flow through a proper link to reach its destination node. The flow control phase effectively designs an improved Random Waypoint Mobility model that utilizes three metrics for avoiding the packets being misdirected. In the second phase, the packets are routed through proper routes after avoiding the misdirected routes using an adaptive QoS routing protocol. This helps to increase the throughput of the network and this utilizes the three metrics for accurate identification of routes. The performance of the proposed method is evaluated the various metrics like network throughput (98.595 kbps), network lifetime (346 s) and delay (0.922 s). The proposed method is compared with existing QoS routing algorithms. The results show that the proposed method has improved its throughput level by reducing the total number of packets being misrouted in the network.
机译：本文提出了一种新的方法来减少路径误报的数量，以提高网络吞吐量。该方法通过将数据包从源节点从源节点发送到目标节点而没有任何数据包丢失，可以增加网络吞吐量，这确保了服务质量（QoS）路由服务。这些度量标准用于制作更好的路由决策，以避免在网络中错误排序的数据包。该方法在两个阶段下运行：流量控制和QoS路由阶段。由于源和目标节点之间的路径在快速的时间内变化，无线传感器网络动态地改变其拓扑结构。因此，流量控制阶段用于通过适当的链路调整分组流以到达其目的地节点。流量控制阶段有效地设计了一种改进的随机航点移动性模型，其利用三个度量来避免误导的数据包。在第二阶段，在使用自适应QoS路由协议避免误导的路由之后，通过适当的路由路由数据包。这有助于提高网络的吞吐量，这利用三个指标来准确识别路线。评估所提出的方法的性能，如网络吞吐量（98.595kbps），网络寿命（346秒）和延迟（0.922秒）等各种度量。将所提出的方法与现有的QoS路由算法进行比较。结果表明，该方法通过减少网络中错误排序的数据包总数来提高其吞吐量。

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