A Novel Strategy for Barrier Confident Information Coverage in Sensor Networks
- Resource Type
- Conference
- Authors
- Jiang, Yalan; Yi, Lingzhi; Zhu, Lu; Jin, Zhenkun; Deng, Xianjun; Wang, Minghua; Liu, Yong; Li, Xiangyang
- Source
- 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) DASC-PICOM-CBDCOM-CYBERSCITECH Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), 2019 IEEE Intl Conf on. :228-231 Aug, 2019
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Peer-to-peer computing
Monitoring
Satellite broadcasting
Uranium
Learning automata
Wireless sensor networks
Mathematical model
Barrier Coverage, Confident Information Coverage Model, Sensor Networks
- Language
This paper focuses on barrier coverage problem in sensor networks which are deployed for uranium tailing border monitoring scenarios. Based on the novel Confident Information Coverage(CIC) model, we define and formulate the Barrier Confident Information Coverage (BCIC) problem and propose a novel Learning automata (LA) theory based strategy to construct barrier confident information coverage paths. Simulation results show the devised strategy can effectively construct barrier paths with minimum nodes and optimize barrier coverage performance.