Dynamic Balanced Spanning Tree (DBST) for data aggregation in Wireless Sensor Networks
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/5724750/5733987/05734058.pdf?arnumber=5734058
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Multifactorial Evolutionary Algorithm For Minimum Energy Cost Data Aggregation Tree In Wireless Sensor Networks;2021 IEEE Congress on Evolutionary Computation (CEC);2021-06-28
2. WDAT‐OMS: A two‐level scheme for efficient data gathering in mobile‐sink wireless sensor networks using compressive sensing theory;IET Communications;2020-07
3. Autoregressive integrated moving average model–based secure data aggregation for wireless sensor networks;International Journal of Distributed Sensor Networks;2020-03
4. On the performance of sink placement in WSNs considering energy-balanced compressive sensing-based data aggregation;Journal of Network and Computer Applications;2018-04
5. Constructing an optimally balanced tree to maximize data throughput with multiple channels;Wireless Networks;2017-07-07
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