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Design of Gradient and Node Remaining Energy Constrained Directed Diffusion Routing for WSN

机译:WSN的梯度和节点剩余能量约束定向扩散路由设计

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In the conventional directed diffusion routing protocol (DD), the intermediate nodes retransmit the received interest message to all of the neighbor nodes by flooding, which can bring about great energy consumption to the network. In this paper, we propose an energy-efficient routing algorithm for wireless sensor networks called gradient and node remaining energy constrained directed diffusion routing (GRE-DD). By setting the maximum gradient diffusion depth, GRE-DD can help to reduce the times of retransmitting interest message at the interest propagation stage, leading to the reduction of transmitted data. By setting the minimum node remaining energy, GRE-DD help to increase the each node''s probability of being selected to perform retransmission task, prolonging the node average working time and improving the network load balance. Simulation results indicate that GRE-DD greatly cuts down the average end-to-end delay, reduces energy consumption and extends the network lifetime.
机译:在常规的定向扩散路由协议(DD)中,中间节点通过泛洪将接收到的兴趣消息重新发送到所有邻居节点,这会给网络带来很大的能量消耗。在本文中,我们为无线传感器网络提出了一种高效节能的路由算法,称为梯度和节点剩余能量受限的定向扩散路由(GRE-DD)。通过设置最大梯度扩散深度,GRE-DD可以帮助减少兴趣传播阶段重发兴趣消息的次数,从而减少传输数据。通过设置最小的节点剩余能量,GRE-DD有助于增加每个节点被选择执行重传任务的可能性,延长节点的平均工作时间并改善网络负载平衡。仿真结果表明,GRE-DD大大降低了平均端到端延迟,降低了能耗并延长了网络寿命。

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