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A Data Aggregation Transfer Protocol Based on Clustering and Data Prediction in Wireless Sensor Networks

机译:基于无线传感器网络中的聚类和数据预测的数据聚合传输协议

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The energy of wireless sensor networks is limited and the energy consumption of wireless communication takes most of the total energy consumption of sensor nodes. This paper proposes an energy-efficient data aggregation transfer protocol based on clustering and data prediction called DACP. In the initialization phase sensor network nodes send messages to sink node, then sink node divides entire networks into several clusters and elects cluster head nodes for each cluster. In the prediction phase sensor member nodes receive predicted data and compare it with sensed data to decide whether send it or not. In the data aggregation phase cluster head nodes aggregate sensed data received from cluster member nodes and decide to send it to sink node or not according to receiving predicted data. It is effective to reduce data transmission and improve the efficiency of data aggregation by data prediction. Simulation results demonstrate that the proposed protocol can significantly provide longer lifetime and prolong the life of every node to survive.
机译:无线传感器网络的能量有限,无线通信的能量消耗是传感器节点的大部分总能耗。本文提出了一种基于群集和数据预测的节能数据聚合传输协议和DACP。在初始化阶段传感器网络节点中发送消息到宿节点,然后宿节节点将整个网络划分为几个集群并选择每个群集的群集头节点。在预测阶段传感器构件节点接收预测数据并将其与感测数据进行比较以决定是否发送它。在数据聚合相位群集中,头部节点聚合从集群成员节点接收的感测数据,并决定将其发送到宿节点或不根据接收到预测数据。通过数据预测减少数据传输并提高数据聚合的效率是有效的。仿真结果表明,所提出的协议可以显着提供更长的寿命并延长每个节点的生存生存。

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