Application of Wireless Sensor Network Technology in Security Control of Intelligent Buildings


  • Jin Wang Yancheng Institute of Technology
  • Hua Shao Yancheng Institute of Technology



wireless sensor network, intelligent building, spectrum sensing, multi-task coor-dination, security monitoring


When a wireless sensor network is used to perform real-time security monitoring inside a building, there are drawbacks like multi-path signal fading and difficulty in spectrum sensing. In light of these problems, this paper proposes an improved signal spectrum sensing algorithm based on support vector machine (SVM), which inhibits the impacts brought by the low signal-noise-ratio (SNR) environment in the transmission process of wireless sensor signals through the embedded cyclostationary characteristic parameters. Based on this, considering the low efficiency and poor fault tolerance of multi-task monitoring and scheduling inside the building, this paper also proposes a multi-task coordination and scheduling algorithm based on physical information integration, which achieves multi-task scheduling and execution through intelligent breakdown and prioritization of general tasks. The simulation test shows that, compared with the artificial neural network (ANN) algorithm and the maximum-minimum eigenvalue (MME) algorithm, the proposed algorithm has much better spectrum sensing effect under low SNR, takes less computation time, and achieves higher accuracy in large-scale multi-task coordination and scheduling. The research conclusions can provide new ideas for the application of wireless sensor network in intelligent building security monitoring.

Author Biographies

Jin Wang, Yancheng Institute of Technology

Jin Wang: (1978.09.09).Associate professor of Yancheng Institute of Technology. Dean of the Department of Architecture. His research direction is architectural intelligence and green building.

Hua Shao, Yancheng Institute of Technology

Hua Shao: (1991.07.21). Hua Shao is a joint master at Yancheng Institute of Technology and China University of Mining and Technology. Her research direction is landscape planning and design. Her interest is in landscape design and architecture intelligentization.




How to Cite

Wang, J., & Shao, H. (2018). Application of Wireless Sensor Network Technology in Security Control of Intelligent Buildings. International Journal of Online and Biomedical Engineering (iJOE), 14(05), pp. 93–104.