Identification Failure Data for Cluster Heads Aggregation in WSN based on Improving Classification of SVM

Thi-Kien Dao, Trong-The Nguyen, Jeng-Shyang Pan, Yu Qiao, Quoc-Anh Lai
2020 IEEE Access  
Wireless sensor network (WSN) has been paid more attention due to its efficient system of communication devices for transferring information from a target environment to the base station (BS) through wireless links. Precise collecting information from sensor nodes for aggregating data in Cluster Head (CH) is an essential demand for a successful WSN application. This paper proposes a new scheme of identifying collected information correctness for aggregating data in CHs in hierarchical WSN based
more » ... on improving classification of Support vector machine (SVM). The optimal parameter SVM is implemented by an improved flower pollination algorithm (IFPA) to achieve classification accuracy. The collecting environmental information like temperature, humidity, etc., from sensor nodes to CHs that classify data fault, aggregate, and transfer them to the BS. Compared with some existing methods, the proposed method offers an effective way of forwarding the correct data in WSN applications. INDEX TERMS Wireless sensor network, support vector machine, identification failure data, classification. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ VOLUME 8, 2020
doi:10.1109/access.2020.2983219 fatcat:sxgtmggtajdzfge4bvsbpoptge