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首页> 外文期刊>American journal of applied sciences >PARTICLE SWARM OPTIMIZATION-BASED ROUTING PROTOCOL FOR CLUSTERED HETEROGENEOUS SENSOR NETWORKS WITH MOBILE SINK
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PARTICLE SWARM OPTIMIZATION-BASED ROUTING PROTOCOL FOR CLUSTERED HETEROGENEOUS SENSOR NETWORKS WITH MOBILE SINK

机译：基于粒子群优化的集群聚类异质传感器网络路由协议

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摘要

In Wireless Sensor Networks (WSN) sensor nodes with sensing, computing and communication infrastructure are randomly deployed and organized as clusters. Most of the existing sensor networks focus on homogeneous in which the cluster heads are changed periodically. To improve the lifetime of energy constraint battery powered WSN and to avoid energy sink-hole problem; Clustered Heterogeneous Sensor Networks (HSN) are analyzed with mobile sink. Our proposed method combines load balanced clustering, transmission power control over normal nodes present in the cluster and mobile sink over HSN. PSO is used to find the optimal path for mobile sink to collect data from cluster heads. The experimental results show that the proposed system has lower energy consumption and improved lifetime over static sink, without load balancing and power control approaches. The optimal path algorithm based on PSO is more robust and easy to reach the solution for real world environmental monitoring and data aggregation problems.
机译：在无线传感器网络（WSN）中，具有传感，计算和通信基础结构的传感器节点被随机部署并组织为群集。现有的大多数传感器网络都集中在均质性方面，在这些均质性中簇头会定期更改。延长能量约束电池供电的无线传感器网络的寿命，并避免能量沉孔问题；使用移动接收器分析群集异构传感器网络（HSN）。我们提出的方法结合了负载均衡群集，群集中存在的正常节点上的传输功率控制和HSN上的移动接收器。 PSO用于查找移动接收器从群集头收集数据的最佳路径。实验结果表明，所提出的系统与静态接收器相比具有更低的能耗和更长的使用寿命，而无需负载平衡和功率控制方法。基于PSO的最佳路径算法更健壮，更易于解决现实环境中的环境监控和数据聚合问题。

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