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Article

Service-Chain-Driven Communication and Computing Integration Networking: A Case Study of Levee Piping Hazard Inspection via Remote Sensing

by
Jing Chen
1,2,
Lyuzhou Gao
1,2,*,
Hongquan Sun
1,2,
Siquan Yang
1,2,
Zhonggen Wang
1,2,
Yuting Wan
3 and
Kedi Wang
4
1
National Institute of Natural Hazards, Ministry of Emergency Management of the People’s Republic of China, Beijing 100085, China
2
Key Laboratory of Compound and Chained Natural Hazards Dynamics, Beijing 100085, China
3
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
4
School of Safety Science, Tsinghua University, Beijing 100084, China
*
Author to whom correspondence should be addressed.
Sensors 2025, 25(13), 4187; https://doi.org/10.3390/s25134187
Submission received: 29 April 2025 / Revised: 29 June 2025 / Accepted: 30 June 2025 / Published: 4 July 2025
(This article belongs to the Section Communications)
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Abstract

Computing power network (CPN) is designed to utilize multi-dimensional resources to complete computing tasks. However, in practical applications, the CPN architecture has difficulty in coordinating cross-domain heterogeneous resources, making it impossible to achieve the real-time and high scalability requirements of computationally intensive and time-sensitive tasks such as levee piping hazard inspection via remote sensing in emergency scenarios. Based on this, we propose a communication and computation integrated network architecture, referred to as (Com)2INet, that integrates “sensing”, “transmission”, and “computation” phases. In the sensing phase, thermal infrared imagery is utilized to retrieve land surface temperature fields through radiative transfer mechanisms, providing a reliable foundation for visual segmentation of piping hazards. In the transmission phase, we adopt the designed multi-path transmission mechanism to promote the efficient data flow across heterogeneous networks. In the computation phase, the proposed SACM algorithm, which is functionally decomposed and implemented as service chains within the proposed network architecture, dynamically processes the retrieved temperature fields to achieve precise hazard identification. This integrated framework ensures seamless interaction between sensing, communication, and computation, addressing the challenges of real-time hazard detection in emergency scenarios.
Keywords: integration networking architecture; collaborative computation; service chains; remote sensing application; hazard identification integration networking architecture; collaborative computation; service chains; remote sensing application; hazard identification

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MDPI and ACS Style

Chen, J.; Gao, L.; Sun, H.; Yang, S.; Wang, Z.; Wan, Y.; Wang, K. Service-Chain-Driven Communication and Computing Integration Networking: A Case Study of Levee Piping Hazard Inspection via Remote Sensing. Sensors 2025, 25, 4187. https://doi.org/10.3390/s25134187

AMA Style

Chen J, Gao L, Sun H, Yang S, Wang Z, Wan Y, Wang K. Service-Chain-Driven Communication and Computing Integration Networking: A Case Study of Levee Piping Hazard Inspection via Remote Sensing. Sensors. 2025; 25(13):4187. https://doi.org/10.3390/s25134187

Chicago/Turabian Style

Chen, Jing, Lyuzhou Gao, Hongquan Sun, Siquan Yang, Zhonggen Wang, Yuting Wan, and Kedi Wang. 2025. "Service-Chain-Driven Communication and Computing Integration Networking: A Case Study of Levee Piping Hazard Inspection via Remote Sensing" Sensors 25, no. 13: 4187. https://doi.org/10.3390/s25134187

APA Style

Chen, J., Gao, L., Sun, H., Yang, S., Wang, Z., Wan, Y., & Wang, K. (2025). Service-Chain-Driven Communication and Computing Integration Networking: A Case Study of Levee Piping Hazard Inspection via Remote Sensing. Sensors, 25(13), 4187. https://doi.org/10.3390/s25134187

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