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Node Redeployment Algorithm Based on Stratified Connected Tree for Underwater Sensor Networks

机译:基于分层连通树的水下传感器网络节点重新部署算法

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摘要

During the underwater sensor networks (UWSNs) operation, node drift with water environment causes network topology changes. Periodic node location examination and adjustment are needed to maintain good network monitoring quality as long as possible. In this paper, a node redeployment algorithm based on stratified connected tree for UWSNs is proposed. At every network adjustment moment, self-examination and adjustment on node locations are performed firstly. If a node is outside the monitored space, it returns to the last location recorded in its memory along straight line. Later, the network topology is stratified into a connected tree that takes the sink node as the root node by broadcasting ready information level by level, which can improve the network connectivity rate. Finally, with synthetically considering network coverage and connectivity rates, and node movement distance, the sink node performs centralized optimization on locations of leaf nodes in the stratified connected tree. Simulation results show that the proposed redeployment algorithm can not only keep the number of nodes in the monitored space as much as possible and maintain good network coverage and connectivity rates during network operation, but also reduce node movement distance during node redeployment and prolong the network lifetime.
机译:在水下传感器网络(UWSN)运行期间,节点随水环境的漂移会导致网络拓扑结构发生变化。需要定期检查和调整节点,以尽可能长地保持良好的网络监控质量。提出了一种基于分层连接树的UWSN节点重新部署算法。在每个网络调整时刻,首先进行自检和节点位置调整。如果节点在受监视空间之外,则它将沿直线返回到其内存中记录的最后一个位置。后来,通过逐级广播就绪信息,将网络拓扑分层为一棵以宿节点为根节点的连接树,可以提高网络连接率。最后,综合考虑网络覆盖率和连接率以及节点移动距离,宿节点对分层连接树中叶节点的位置进行集中优化。仿真结果表明,所提出的重新部署算法不仅可以最大程度地保持被监控空间中的节点数量,并在网络运行过程中保持良好的网络覆盖率和连通性,还可以减少节点重新部署时的节点移动距离,延长网络寿命。 。

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