In recent years, affected by the hot development of information technology, big data technology has been fully expanded, and wireless sensor networks, which are popular with their own characteristics, have also ushered in vigorous development. Based on the current emphasis on the public environment, the use of wireless sensor networks to locate the details of the environment has the most fundamental and important impact on the artistic design of the environment. Designs that conform to the concept of environmental development are more in line with public expectations. Based on this, this article proposes a wireless sensor network-based public environment for buildings. Environmental positioning research explores the development of intelligent building environment. This article mainly discusses the application technology of wireless sensor positioning system, and compares the modified positioning algorithm with other positioning algorithms. Under the same acquisition conditions and under the same number of samples, explore the difference in positioning errors. A hybrid positioning system based on multiple positioning algorithms is proposed, and comparative experiments are carried out to obtain experimental results, which can highlight the effectiveness of the results. The experimental results in this paper show that the area judgment of the TOA internal area is very good, with an accuracy rate of 100%; the accuracy rate of the key areas of the corridor is 89%. When the wrong area discrimination occurs in the key area of the corridor, it will cause the time delay of the positioning mode switch. The main influence factor is the interference of the door and wall to the key area range, indicating that more attention should be paid to it in the measurement.

Tengjiao Liu. The Application of Wireless Sensor Network in Public Environment Art Design. Academic Journal of Engineering and Technology Science (2024) Vol. 7, Issue 3: 116-128. https://doi.org/10.25236/AJETS.2024.070317.

[1] Peng Y, Al-Hazemi F, Boutaba R, et al. Enhancing Energy Efficiency via Cooperative MIMO in Wireless Sensor Networks: State of the Art and Future Research Directions. IEEE Communications Magazine, 2017, 55(11): 47-53.

[2] Wang T, Peng Z, Wen S, et al. A Survey of Fog Computing in Wireless Sensor Networks: Concepts, Frameworks, Applications and Issues. Ad Hoc & Sensor Wireless Networks, 2019, 44(1-2): 109-130.

[3] Shim K A. A Survey of Public-Key Cryptographic Primitives in Wireless Sensor Networks. IEEE Communications Surveys & Tutorials, 2017, 18(1): 577-601.

[4] Luo J, Hu J, D Wu, et al. Opportunistic Routing Algorithm for Relay Node Selection in Wireless Sensor Networks. IEEE Transactions on Industrial Informatics, 2017, 11(1): 112-121.

[5] Remah A, Khaled E. Performance and Challenges of Service-Oriented Architecture for Wireless Sensor Networks. Sensors, 2017, 20 (536): 536-575.

[6] Kunz T, Tatham B. Localization in Wireless Sensor Networks and Anchor Placement. Journal of Sensor & Actuator Networks, 2018, 1(1): 36-58.

[7] Havinga P, Meratnia N, Bahrepour M. Artificial intelligence based event detection in wireless sensor networks. University of Twente, 2017, 85(6): 1553-62.

[8] Ying Z, Wang J, Han D, et al. Fuzzy-Logic Based Distributed Energy-Efficient Clustering Algorithm for Wireless Sensor Networks. Sensors, 2017, 17(7): 1554.

[9] Zhang H, Hong X, Cheng J, et al. Secure Resource Allocation for OFDMA Two-Way Relay Wireless Sensor Networks Without and With Cooperative Jamming. IEEE Transactions on Industrial Informatics, 2017, 12(5): 1714-1725.

[10] Dong M, Ota K, Liu A. RMER: Reliable and Energy-Efficient Data Collection for Large-Scale Wireless Sensor Networks. IEEE Internet of Things Journal, 2017, 3(4): 511-519.

[11] Han G, Jiang J, Zhang C, et al. A Survey on Mobile Anchor Node Assisted Localization in Wireless Sensor Networks. IEEE Communications Surveys & Tutorials, 2017, 18(3): 2220-2243.

[12] Deng Y, Wang L, Elkashlan M, et al. Physical Layer Security in Three-Tier Wireless Sensor Networks: A Stochastic Geometry Approach. IEEE Transactions on Information Forensics and Security, 2017, 11(6): 1128-1138.

[13] Hu Y, Dong M, Ota K, et al. Mobile Target Detection in Wireless Sensor Networks With Adjustable Sensing Frequency. IEEE Systems Journal, 2017, 10(3): 1160-1171.

[14] Fei Z, Li B, Yang S, et al. A Survey of Multi-Objective Optimization in Wireless Sensor Networks: Metrics, Algorithms, and Open Problems. IEEE Communications Surveys & Tutorials, 2017, 19(1): 550-586.

[15] Boselin P, Sakkthi V, Babu A, et al. Mobility Assisted Dynamic Routing for Mobile Wireless Sensor Networks. Social Science Electronic Publishing, 2017, 3(1): 9-19.

[16] Seo S H, Won J, Sultana S, et al. Effective Key Management in Dynamic Wireless Sensor Networks. IEEE Transactions on Information Forensics and Security, 2017, 10(2): 371-383.