Collaborative Sensor Data Validation Method for Heterogeneous Wireless Sensor Networks

Zhang, Haoting

doi:10.23919/transcom.2025ebp3124

2026-05-01

PRE

Zhang, Haoting *

Yamamoto, Hiroshi

DOI：10.23919/transcom.2025ebp3124

原文链接

摘要

En 中文

Efforts towards the realization of smart cities are gaining increasing attention to improve the efficiency and comfort of social activities. The smart cities are built on the IoT systems that gather and analyze various sensor data from different parts of the city. The wireless sensor networks are essential for constructing the IoT systems but have various vulnerabilities (e.g., data tampering, eavesdropping) to the integrity of the sensor data due to the openness of wireless communication. The existing study proposes a system for detecting anomalies in the sensor data by verifying the correctness of the time-series characteristics. However, it is difficult for the existing system to detect attacks that tamper with the sensor data by simulating the realistic pattern of the time series. Therefore, in this study, we assume that sensor nodes physically close in proximity can generate sensor data with similar information, and propose a new method to ensure the integrity of the sensor data by enabling nodes participating in different sensor networks to collaborate with the adjacent nodes to verify the data. The proposed system enables collaboration between different wireless sensor networks by temporarily switching communication protocols and forming a temporal network using BLE. Within this network, each sensor node exchanges its data with adjacent nodes belonging to other networks and performs mutual integrity verification using lightweight machine learning techniques, such as autoencoders. To demonstrate the feasibility of the proposed method, we implement a prototype system and show that it can reliably detect data tampering while maintaining low processing and energy overhead.

Keyword:

smart city

wireless sensor networks

sensor data integrity

anomaly detection