Secure Data Aggregation Mechanism based on Constrained Supervision for Wireless Sensor Network

• Autorzy: Wang Yubo , Li Liang , Ao Chen , Zhang Puning , Wang Zheng , Zhao Xinyang

Identyfikatory

DOI

10.24425/ijet.2019.126309

• Języki publikacji: EN

Abstrakty

EN

The data aggregation process of wireless sensor networks faces serious security problems. In order to defend the internal attacks launched by captured nodes and ensure the reliability of data aggregation, a secure data aggregation mechanism based on constrained supervision is proposed for wireless sensor network, which uses the advanced LEACH clustering method to select cluster heads. Then the cluster heads supervise the behaviors of cluster members and evaluate the trust values of nodes according to the communication behavior, data quality and residual energy. Then the node with the highest trust value is selected as the supervisor node to audit the cluster head and reject nodes with low trust values. Results show that the proposed mechanism can effectively identify the unreliable nodes, guarantee the system security and prolong the network life time.

Słowa kluczowe

EN

wireless sensor network; security data aggregation; trust management; constrained supervision

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2019
• Tom: Vol. 65, No. 2
• Strony: 259--266
• Opis fizyczny: Bibliogr. 21 poz., rys., wykr.

Twórcy

autor

Wang Yubo

• State Grid Key Laboratory of Power Industrial Chip Design and Analysis Technology, Beijing Smart-Chip Microelectronics Technology Co., Ltd., Beijing, China

autor

Li Liang

• State Grid Key Laboratory of Power Industrial Chip Design and Analysis Technology, Beijing Smart-Chip Microelectronics Technology Co., Ltd., Beijing, China

autor

Ao Chen

• State Grid Key Laboratory of Power Industrial Chip Design and Analysis Technology, Beijing Smart-Chip Microelectronics Technology Co., Ltd., Beijing, China

autor

Zhang Puning

• Chongqing University of Posts and Telecommunications, Chongqing, China

autor

Wang Zheng

• State Grid Key Laboratory of Power Industrial Chip Design and Analysis Technology, Beijing Smart-Chip Microelectronics Technology Co., Ltd., Beijing, China

autor

Zhao Xinyang

• Maintenance Company of State Grid NingXia Electric Power Co.,Ltd, Yinchuan, China

Bibliografia

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Uwagi

1. Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).

2. This work was supported by the grant No. 546816180001 financed from State Grid Corporation Headquarters Science and Technology Project.