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Minimization of Consumption of Energy using Clustering and Fault Tolerance using Recovery Node in Mobile Wireless Sensor Networks

机译：在移动无线传感器网络中使用恢复节点使用聚类和容错能力最小化能量消耗

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Ankita Chaudhry; Nivit Grewal;
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年度 2015
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1. A Data Gathering Algorithm Based on Energy-Aware Connected Dominating Sets to Minimize Energy Consumption and Maximize Node Lifetime in Wireless Sensor Networks [J] . Natarajan Meghanathan International journal of interdisciplinary telecommunications and networking . 2010,第3期

机译：一种基于能量感知连接控制集的数据收集算法，以最小化能耗并最大化无线传感器网络中的节点寿命
2. An energy efficient cluster based routing approach to minimize energy consumption using CORP in wireless sensor networks [J] . Jothikumar C., Venkataraman Revathi, Raj T. Sai, Journal of intelligent & fuzzy systems: Applications in Engineering and Technology . 2019,第6aPta1期

机译：基于节能集群的无线传感器网络中CORP最小化能耗的路由方法
3. Minimizing Energy Consumption Based on Neural Network in Clustered Wireless Sensor Networks [J] . N. Vadivelan, A. Ramamurthy, P. Padmaja Journal of computational and theoretical nanoscience . 2019,第2期

机译：基于集群无线传感器网络中神经网络的能耗最小化
4. Optimal Placement of Wireless Sensor Nodes with Fault Tolerance and Minimal Energy Consumption [C] . Shafaq Chaudhry, Victor Hung, Ratan Guha IEEE International Conference on Mobile Adhoc and Sensor Systems . 2006

机译：具有容错和最小能耗的无线传感器节点的最佳放置
5. Agent-based approach for minimizing the energy consumption among border nodes in wireless sensor networks. [D] . Malik, Haroon. 2007

机译：基于代理的方法，用于最小化无线传感器网络中边界节点之间的能耗。
6. An Energy-Efficient Clustering Routing Protocol for Wireless Sensor Networks Based on AGNES with Balanced Energy Consumption Optimization [O] . Zhidong Zhao, Kaida Xu, Guohua Hui, 2018

机译：基于AGNES均衡能耗优化的无线传感器网络节能集群路由协议
7. A New Method for Reducing Energy Consumption in Wireless Sensor Networks using Fuzzy Clustering and Fault Tolerance [O] . Vahab ashrafian, Ali Harounabadi, Mehdi Sadeghzadeh 2013

机译：一种利用模糊聚类和容错能力减少无线传感器网络中能耗的新方法

Minimization of Consumption of Energy using Clustering and Fault Tolerance using Recovery Node in Mobile Wireless Sensor Networks

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