Secure Load Balancing via Hierarchical Data Aggregation in Heterogeneous Sensor Networks

In wireless sensor networks, sensing driven nature of data generation and uneven cluster sizes result in unbalanced data traffic load among clusters. Clusters in which the event generation rate is high and/or clusters that have more members than others suffer from congestion and data loss which negatively affect the accuracy of the collected data. In addition, the cluster heads of such clusters exhaust their energy earlier than others, thereby reducing the network lifetime. Hence, the data load among clusters must be balanced to preserve the data accuracy and prolog the network lifetime. This paper presents Secure Load Balancing (SLB) protocol and introduces pseudo-sinks in order to improve data accuracy and bandwidth utilization of wireless sensor networks while still providing secure communication. Simulation results show that, in comparison with traditional cluster based networks, SLB protocol improves the data accuracy and increases the data delivery rate in the presence of security constraints.

並列關鍵字

sensor networks ； congestion ； load balancing ； data aggregation ； security

被引用紀錄

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延伸閱讀

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張智傑（2015）。A Novel Hierarchical Multi-classifier for Imbalanced Dataset in Network Intrusion Detection〔碩士論文，國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2015.02527
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國際替代計量

Secure Load Balancing via Hierarchical Data Aggregation in Heterogeneous Sensor Networks

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