.png){kind=icon}
返回
A Novel Clustering Strategy-Based Sink Path Optimization for Wireless Sensor Network
.png){kind=icon}
PRE
AI
DOI：10.1109/JSEN.2022.3199605.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
To optimize the path of mobile sinks in the wireless sensor network (WSN) and use of 5G signals to transmit information, a new clustering strategy is proposed, which not only balances the number of cluster nodes but also shortens the path of mobile sinks. By moving rendezvous points (RPs) to change the cluster position, we first propose a metaheuristics clustering algorithm named the dynamic clustering-based rectangular evolutionary algorithm (DCREA). The algorithm adjusts the clustering structure of the network by limiting the cluster movement range; then, it is optimized in combination with the greedy algorithm. Extensive experimental results show that this method can significantly shorten the path of the mobile sink, increase the efficiency of the mobile sink, and improve the quality of signal transmission while maintaining the balance of the cluster structure. The experimental results show that the DCREA is the most effective and indicate the effectiveness of the algorithm by comparing it with related recent algorithms.
Keyword:
Sensors
Clustering algorithms
Wireless sensor networks
Periodic structures
Metaheuristics
Heuristic algorithms
Energy consumption
Clustering
metaheuristics
mobile sink
path optimization
wireless sensor network (WSN)
期刊
IF:
4.5
论文数:
2.2W
被引数:
7.3W
机构
引用论文
分享收藏Data Collection and Path Determination Strategies for Mobile Sink in 3D WSNs.png)
IEEE SENSORS JOURNAL
IEEE SENSORS JOURNALIF4.5
PREAI
分享收藏A Smart High-Speed Backbone Path Construction Approach for Energy and Delay Optimization in WSNsIEEE ACCESS
OAAI
IEEE ACCESSIF3.6
OAAI分享收藏Data Gathering With Minimum Number of Relay Packets in Wireless Sensor NetworksIEEE SENSORS JOURNAL
IEEE SENSORS JOURNALIF4.5
PREAI
分享收藏A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems关于元启发式算法在现实世界优化问题中的设计，实验和应用的教程
PREAI
分享收藏Effect of the FIFA 11+ soccer specific warm up programme on the incidence of injuries: A cluster-randomised controlled trialPLOS ONEOAAI
PLOS ONEIF0
OAAI分享收藏
查看更多内容