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Data Aggregation in Heterogeneous Wireless Sensor Networks by Using Local Tree Reconstruction Algorithm

机译:异构无线传感器网络中的数据聚合使用本地树重建算法

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Aiming at the transmission of heterogeneous data in heterogeneous networks, a topology optimization algorithm of heterogeneous wireless sensor networks based on local tree reconstruction is proposed, which can achieve better data transmission in the heterogeneous networks. First, the algorithm divides the nodes of the network into different layers by their hops and chooses different numbers of nodes as relay nodes in different layers. Second, the nodes are set with different initial energies in different layers. Because the packets of different nodes have different sizes, we adopt the corresponding data aggregation coefficients according to the actual data requirements of the network in data transmission. Finally, the lifetime of the network is prolonged by real-time updating of the topology of the tree during the data transmission. The simulations indicate that after the aforementioned three steps, the proposed algorithm prolongs the lifetime of the heterogeneous networks and improves the nodes utilization effectively.
机译:旨在在异构网络中传输异构数据,提出了一种基于局部树重建的异构无线传感器网络的拓扑优化算法,其可以在异构网络中实现更好的数据传输。首先,该算法将网络的节点划分为跳跃的不同层,并选择不同数量的节点作为不同层中的中继节点。其次,节点以不同层的不同初始能量设置。因为不同节点的数据包具有不同的大小,所以我们根据数据传输中的网络的实际数据要求采用相应的数据聚合系数。最后,通过实时更新在数据传输期间树的拓扑进行实时更新网络的寿命。该模拟表明,在上述三个步骤之后,所提出的算法延长异构网络的寿命并有效地改善节点利用率。

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