Publications

Publications (Full List)

 

Some Recent Publications:

Journals:

61. H. Nan, R. Li, X. Zhu, J. Ma, and D. Niyato, “An Efficient Data-driven Traffic Prediction Framework for Network Digital Twin,” IEEE Network. (Accepted) 

60. R. Lu, R. Bai, R. Li, L. Zhu, M. Sun, F. Xiao, D. Wang, H. Wu, and Y. Ding, “A Novel Sequence-to-Sequence based Deep Learning Model for Multi-step Load Forecasting,” IEEE Transactions on Neural Networks and Learning Systems, 2023. (Accepted)

59. H. Nan, R. Li, X. Zhu, J. Ma, and K. Xue, “Spatio-Temporal Identity Multi-Graph Convolutional Network for Traffic Prediction in the Metaverse,” IEEE Journal on Selected Areas in Communications (JSAC), 2023. (Accepted) 

58. X. Hu, Z. Shu, Z. Tong, G. Cheng, R. Li, and H. Wu, “Fine-grained Ethereum Behavior Identification via Encrypted Traffic Analysis with Serialized Backward Inference,” Elsevier Computer Networks, 2023. (Accepted)

57. C. Tang, H. Wu, R. Li, C. Zhu, and J. Rodrigues, “A Systematic Exploration of Edge Computing-Enabled Metaverse,” IEEE Network. (Accepted)

56. X. Hu, W. Gao, G. Cheng, R. Li, Y. Zhou, and H. Wu, “Towards Early and Accurate Network Intrusion Detection Using Graph Embedding,” IEEE Transactions on Information Forensics & Security. (Accepted)

55. Y. Wang, Z. Su, A. Benslimane, Q. Xu, M. Dai, and R. Li, “Collaborative Honeypot Defense in UAV Networks: A Learning-Based Game Approach,” IEEE Transactions on Information Forensics & Security. (Accepted) 

54.H. Zeng, Z. Su, Q. Xu, R. Li, Y. Wang, M. Dai, T. Luan, X. Sun, and D. Liu, “USV Fleet-Assisted Collaborative Computation Offloading for Smart Maritime Services: An Energy-Efficient Design,” IEEE Transactions on Vehicular Technology, 2023. (Accepted)

53. W. He, Y. Wang, M. Zhou, R. Li, L. Xie, and Z. Su, “An Efficient and Robust Fusion Positioning System Based on Entangled Photons,” IEEE Journal on Selected Areas in Communications (JSAC), 2023. (Accepted)

52. Z. Li, K. Xue, J. Li, L. Chen, R. Li, Z. Wang, N. Yu, D. S.L. Wei, Q. Sun, and J. Lu, “Entanglement-Assisted Quantum Networks: Mechanics, Enabling Technologies, Challenges, and Research Directions,” IEEE Communications Survey & Tutorials, 2023. (Accepted) 

51. X. Hu, H. Chen, M. Li, G. Cheng, R. Li, H. Wu, and Y. Yuan, “ReplaceDGA: BiLSTM based Adversarial DGA with High Anti-Detection Ability”, IEEE Transactions on Information Forensics & Security. (Accepted) 

50. Y. Wang, Z. Su, A. Benslimane, Q. Xu, M. Dai, and R. Li, “Collaborative Honeypot Defense in UAV Networks: A Learning-Based Game Approach,” IEEE Transactions on Information Forensics & Security, 2023. (Accepted)

49L. Chen, K. Xue, J. Li, R. Li, N. Yu, Q. Sun, and J. Lu, “Q-DDCA: Decentralized Dynamic Congestion Avoid Routing in Large-Scale Quantum Networks,” IEEE/ACM Transactions on Networking, DOI: 10.1109/TNET.2023.3285093, 2023. (Accepted)

48. Y. Wang, Z. Su, T. H. Luan, J. Li, Q. Xu, and R. Li, “SEAL: A Strategy-Proof and Privacy-Preserving UAV Computation Offloading Framework,” IEEE Transactions on Information Forensics and Security, DOI: 10.1109/TIFS.2023.3280740, 2023. (Accepted)

47. Z. Li, J. Li, K. Xue, D. S. L. Wei, R. Li, N. Yu, Q. Sun, and J. Lu, “Swapping-based Entanglement Routing Design for Congestion Mitigation in Quantum Networks,” IEEE Transactions on Network and Service Management, DOI: 10.1109/TNSM.2023.3275815, 2023. (Accepted)

46. Y. Wang, Z. Su, Q. Xu, R. Li, T. H. Luan, and P. Wang, “A Secure and Intelligent Data Sharing Scheme for UAV-Assisted Disaster Rescue,” IEEE/ACM Transactions on Networking, DOI: 10.1109/TNET.2022.3226458, 2023. (Accepted)

45. X. Luo, K. Xue, J. Li, R. Li, D. Wei, “Make Rental Reliable: Blockchain-based Network Slice Management Framework with SLA,” IEEE Communications Magazine. (Accepted)

44. Q. Xu, L. Zhao, Z. Su, D. Fang, and R. Li, “Secure Federated Learning in Quantum Autonomous Vehicular Networks OCA”, IEEE Network. (Accepted)

43. M. Wang, J. Li, K. Xue, R. Li, N. Yu, Y. Li, Y. Liu, Q. Sun, and J. Lu, “A Segment-based Multipath Distribution Method in Partially-Trusted Relay Quantum Networks,” IEEE Communications Magazine. (Accepted)

42. J. Han, K. Xue, J. Li, R. Zhuang, R. Li, R. Yu, G. Xue, and Q. Sun, “EdAR: An Experience-driven Multipath Scheduler for Seamless Handoff in Mobile Networks,” IEEE Transactions on Wireless Communications. (Accepted)

41. N. Zhao, B. Han, R. Li, J. Su, C. Zhou, “A Multivariate KPIs Anomaly Detection Framework with Dynamic Balancing Loss Training,” IEEE Transactions on Network and Service Management, DOI: 10.1109/TNSM.2022.3224803, 2022.

40. L. Chen, K. Xue, J. Li, N. Yu, R. Li, Q. Sun, and J. Lu, “SimQN: a Network-layer Simulator for the Quantum Network Investigation,” IEEE Network, Jan. 2023.

39. R. Xing, Z. Su, T.H. Luan, and R. Li, “Deep-Learning-Driven Secure Offline Blockchain in a Cyber-Physical Social System,” IEEE Network, 36(6), 2022.

38. Y. Xing, K. Xue, Y. Zhang, J. Han, J. Li, D. Wei, R. Li, Q. Sun, and J. Lu, “A Stream-Aware MPQUIC Scheduler for HTTP Traffic in Mobile Networks,” IEEE Transactions on Wireless Communications, DOI: 10.1109/TWC.2022.3213638, 2022.  

37. R. Li, P. Narang, M. Aelmans, G. Xue, P. Mueller, and G.-L. Long, “Guest Editorial: Quantuam Communications and Networking,” IEEE Network, 36(5), pp. 4-5, 2022.

36. Y. Cui, X. Xu, R. Li, Y. Pan, “Online Double Auction for Wireless Spectrum Allocation With General Conflict Graph,” IEEE Transactions on Vehicular Technology, vol. 71, issue 11, Nov. 2022.

35. R. Li, T. Hirayama, K. Xue, P. Ruan, and H. Asaeda, “CON: A Computation-Oriented Network for Efficient Edge Intelligence,” IEEE Network, 36 (5), 188-196, 2022.

34. Q. Xu, Z. Su, R. Li, “Security and Privacy in Artificial Intelligence-Enabled 6G,” IEEE Network, 36 (5), 188-196, 2022.

33. L. Chen, K. Xue, J. Li, N. Yu, R. Li, J. Liu, Q. Sun, J. Lu, “A Heuristic Remote Entanglement Distribution Algorithm on Memory-Limited Quantum Paths,” IEEE Transactions on Communications, vol. 70, issue 11, Nov. 2022

32. R. Xing, Z. Su, T. Luan, and R. Li, “Deep Learning Driven Secure Offline Blockchain in Cyber-Physical Social System,” IEEE Network, vol. 36, issue 6, Nov./Dec. 2022.

31. J. Li, M. Wang, K. Xue, R. Li, N. Yu, Q. Sun, and J. Lu, “Fidelity-Guaranteed Entanglement Routing in Quantum Networks,” IEEE Transactions on Communications, vol. 70, issue 10, October 2022.

30. R. Zhuang, J. Han, K. Xue, J. Li, D. Wei, R. Li, Q. Sun, and J. Lu, “Achieving Flexible and Lightweight Multipath Congestion Control through Online Learning,” IEEE Transactions on Network and Service Management, DOI: 10.1109/TNSM.2022.3208747, 2022.  

29. P. Manzoni, R. Li, M. Zennaro, S. Figueria, “Guest Editorial Special Issue on Sustainable Solutions for the Internet of Things,” IEEE Internet of Things Journal, vol. 9, issue 10, May 15 2022.

28. M. Dai, T. Luan, Z. Su, N. Zhang, Q. Xu, and R. Li, “Joint Channel Allocation and Data Delivery for UAV-Assisted Cooperative Transportation Communications in Post-Disaster Networks,” IEEE Intelligent Transportation Systems Transactions, vol. 23, issue 9, Sept. 2022.

27. X. Huang, K. Xue, Y. Xing, D. Hu, R. Li, and Q. Sun, “An Efficient Scheme to Defend Data-to-Control-Plane Saturation Attacks in Software-Defined Networking,” Journal of Computer Science and Technology, vol. 37, no. 4, pp. 839–851, July 2022.

26. R. Xing, Z. Su, T. H. Luan, Q. Xu, Y. Wang, and R. Li, “UAVs Aided Delay Tolerant Blockchain Secure Offline Transactions in Post-Disaster Vehicular Networks,” IEEE Transactions on Vehicular Technology, vol. 71, issue 11, November 2022. 

25. J Chen, H Wu, R Li, P Jiao, “Green-Parallel Online Offloading for DSCI-Type Tasks in IoT-Edge Systems,” IEEE Transactions on Industrial Informatics, vol. 18, issue 11, Nov. 2022.

24. H. Tang, H. Wu, G. Qu, and R. Li, “Double Deep Q-Network based Dynamic Framing Offloading in Vehicular Edge Computing,” IEEE Transactions on Network Science and Engineering, DOI: 10.1109/TNSE.2022.3172794, 2022.  

23. Z. Zhou, M. Shojafar, R. Li, and R. Tafazolli, “EVCT: An Efficient VM Deployment Algorithm for a Software-Defined Data Center in a Connected and Autonomous Vehicle Environment,” IEEE Transactions on Green Communications and Networking, vol. 6, issue 3, Sept.2022. 

22. J. Li , Y. Deng , W. Sun , W. Li , R. Li, Q. Li , Z. Liu, “Resource Orchestration of Cloud-edge based Smart Grid Fault Detection,” ACM Transactions on Sensor Networks, vol. 18, issue 3, no. 46, pp 1–26, 2022.  

21. Z. Fadlullah, M. Fouda, K. Rabie, and R. Li, “Smart, Optimal, and Explainable Orchestration of Network Slices in 5G and Beyond Networks (Guest Editorial),” IEEE Wireless Communications, vol. 29, issue 1, Feb. 2022. 

20. A. Lahmadi, E. Bertin, and R. Li, “BRAINS 2020 special issue: Blockchain research and applications for innovative networks and services (Guest Editorial),” International Journal of Network Management, 32(2), 2022. 

19. M. Xie, H. Wu, and R. Li, “DNN Migration in IoTs: Emerging Technologies, Current Challenges and Open Research Directions,” IEEE Consumer Electronics Magazine, DOI: 10.1109/MCE.2022.3159348, 2022.  

18. X. Hu, C. Zhu, G. Cheng, Guang, R. Li, H. Wu, and J. Gong, “A Deep Subdomain Adaptation Network with Attention Mechanism for Malware Variant Traffic Identification at an IoT Edge Gateway,” IEEE Internet of Things Journal, DOI: 10.1109/JIOT.2022.3160755, 2022.  

17. X. Hu, C. Zhu, Z. Tong, W. Gao, G. Cheng, R. Li, H. Wu, and J. Gong, “Identifying Ethereum Traffic Based on An Active Node Library and DEVp2p Features,” Future Generation Computer Systems, vol. 132, pp. 162-177, July 2022.  

16. Y. Wang, Z. Su, N. Zhang, R. Li, “Mobile Wireless Rechargeable UAV Networks: Challenges and Solutions,” IEEE Communication Magazine, vol. 60, Issue 3, Mar. 2022.

15. Y. Wang, Z. Su, T. Luan, R. Li, and K. Zhang, “Federated Learning with Fair Incentives and Robust Aggregation for UAV-Aided Crowdsensing”, IEEE Transactions on Network Science and Engineering. (Accepted) 

14. H. Tang, H. Wu, Y. Zhao, and R. Li, “Joint Computation Offloading and Resource Allocation under Task-Overflowed Situations in Mobile Edge Computing,” IEEE Transactions on Network and Service Management. (Accepted) 

13. Z. Li, K. Xue, J. Li, N. Yu, D. Wei, and R. Li, “Connection-oriented and Connectionless Remote Entanglement Distribution Strategies in Quantum Networks,” IEEE Network, vol. 36, issue 6, 150-156, Nov./Dec. 2022.

12. Y. Wang, W. Chen, T. H. Luan, Z. Su, Q. Xu, R. Li, and N. Chen,“Task Offloading for Post-disaster Rescue in Unmanned Aerial Vehicles Networks” IEEE/ACM Transactions on Networking, vol. 30, issue 4, pp. 1525-1539, Aug. 2022. (Accepted)

11. H. Wu, Z. Zhang, N. Wang, C. Tang, and R. Li, “MR-DRO: A Fast and Efficient Task Offloading Algorithm in Heterogeneous Edge/Cloud Computing Environments,” IEEE Internet of Things Journal. (Accepted)

10. G. Qu, N. Cui, H. Wu, R. Li, and Y. Ding, “ChainFL: A Simulation Platform for Joint Federated Learning and Blockchain in Edge/Cloud Computing Environments,” IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2021.3117481, 2021. (Accepted)

9. M. Dai, Z. Su, R. Li, and S. Yu, “A SDN-Enabled Approach for Edge-Cloud Computing in Internet of Things,” IEEE Network. (Accepted)

8. M. Xue, H. Wu, R. Li, M. Xu and P. Jiao, “EosDNN: An Efficient Offloading Scheme for DNN Inference Acceleration in Local-Edge-Cloud Collaborative Environment,” IEEE Transactions on Green Communications and Networking, DOI: 10.1109/TGCN.2021.3111731, 2021. (Accepted)

7. L. Cui, Y. Qu, G. Xie, D. Zeng, R. Li, S. Shen, S. Yu, “Security and Privacy-Enhanced Federated Learning for Anomaly Detection in IoT Infrastructures,” IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2021.3107783, 2021. (Accepted)

6. J. Tao, T. Han, and R. Li, “Deep Reinforcement Learning Based Scheme for Intrusion Detection in Aerial Computing Networks,” IEEE Network, vol. 35, issue 4, July/August 2021. 

5. G. Qu, H. Wu, R. Li, and P. Jiao, “DMRO: A Deep Meta Reinforcement Learning-based Task Offloading Framework for Edge-Cloud Computing,” IEEE Transactions on Network and Service Management, vol. 18, issue 3, Sept. 2021. 

4. Y. Xing, K. Xue, Y. Zhang, J. Han, J. Li, J. Liu, and R. Li, “A Low-Latency MPTCP Scheduler for Live Video Streaming in Mobile Networks,” IEEE Transactions on Wireless Communications, DOI: 10.1109/TWC.2021.3081498, 2021. 

3. P. Cong, Y. Zhang, Z. Liu, T. Baker, H. Tawfik, W. Wang, K. Xu, R. Li, and F. Li, “A Deep Reinforcement Learning-based Multi-Optimality Routing Scheme for Dynamic IoT Networks,” Elsevier Computer Networks, vol. 192, 19, June 2021. 

2. D. Zeng, R. Li, Z. Zhou, R. Zhou, R. Langar, and M. Bhuiyan, “Editorial for Special Issue on Flexible Cloud and Edge for Internet-of-Things [Guest Editorial],” Trans. Emerg. Telecommun. Technol. 32(8), 2021.

1. Z. Su, M. Dai, Q. Xu, R. Li, and H. Zhang, “UAV Enabled Content Distribution for Internet of Connected Vehicles in 5G Heterogeneous Networks,” IEEE Transactions on Intelligent Transportation Systems, vol. 22, issue 8, Aug. 2021.

International Conference Papers:

31. J. Han, K. Xue, W. Wang, R. Li, Q. Sun, and J. Lu, “RateMP: Optimizing Bandwidth Utilization with High Burst Tolerance in Data Center Networks,” IEEE International Conference on Computer Communications (IEEE INFOCOM 2024), 2024. (Accepted)

30. K. Fan, H. Wu, and R. Li, “Codecs for DNA-based Data Storage Systems with Multiple Constraints for Internet of Things,” IEEE Globecom 2023, 2023. (Accepted)

29. L. Xie, Z. Su, N. Chen, and R. Li, “Differential Privacy-Based Incentive Scheme for App-Assisted Mobile Edge Crowdsensing,” IEEE Globecom 2023, 2023. (Accepted)

28. X. Hu, Y. Shi, G. Cheng, R. Li, H. Wu, and G. Wang, “Towards Early and Accurate IoT Device-Type Identification with Global Attention Mechanism,” IEEE Globecom 2023, 2023. (Accepted)

27. Y. Xie, J. Zhao, B. Zhu, J. Li, R. Li, and K. Xue, “Achieving Privacy-Preserving Outsourced SVM Training with Non-linear Kernel,” IEEE Globecom 2023, 2023. (Accepted)

26. Q. Jiang, Z. Xu, X. Luo, X. Zhang, K. Xue, and R. Li, “AcCrowd: Blockchain-based Crowdsourcing with Worker Anonymity and Payment Correctness,” IEEE Globecom 2023, 2023. (Accepted)

25. L. Yuan, Z. Zhong, Y. Lim, and R. Li, “Study of Quantum Error Corrected Fidelity Routing Design for Quantum Networks,” European Wireless (EW 2023), Rome, Italy, Oct. 2023. (Accepted)

24. X. Han, B. Han, R. Li, and X. Ji, “MARS: An Adaptive Multi-Agent DRL-based Scheduler for Multipath QUIC in Dynamic Networks,” IEEE/ACM International Symposium on Quality of Service (IEEE/ACM IWQoS 2023). (Accepted) 

23. K. Ding, J. Yang, J. Han, B. Wang, R. Li, and K. Xue, “Performance Investigations on Integrating Federated Learning with Future Networks,” IEEE/ACM International Symposium on Quality of Service (IEEE/ACM IWQoS 2023). (Accepted) 

22. Z. Xu, X. Luo, K. Xue, D. Wei and R. Li, “SeRedact: Secure and Efficient Redactable Blockchain with Verifiable Modification,” 42nd IEEE International Conference on Distributed Computing Systems (IEEE ICDCS 2023). (Accepted) 

21. Y. Liu, J. Han, K. Xue, R. Li and J. Li, “L2BM: Switch Buffer Management for Hybrid Traffic in Data Center Networks,” 42nd IEEE International Conference on Distributed Computing Systems (IEEE ICDCS 2023). (Accepted)

20S. Fukumoto, R. Li, and Z. Su, “Performance Investigations on Integrating Federated Learning with Future Networks,” IEEE ICC 2023. (Accepted)

19. X. Hu, B. Lin, G. Cheng, R. Li, H. Wu, “Detecting Cryptomining Traffic over an Encrypted Proxy Based on K-S Test,” IEEE ICC 2023. (Accepted)

18. J. Yang, H. Zhou, R. Li, J. Zhang, and R. Chen, “Covert Communication by Exploiting a Full-Duplex Cognitive Receiver in CR network,” IEEE ICC 2023. (Accepted)

17. X. Hu, N. Li, G. Cheng, R. Li, Hua Wu, “A Novel Darknet Traffic Classification Method based on Knowledge Graph with Dynamic Embedding Learning,” IEEE ICC 2023. (Accepted)

16. Y. Wang, Z. Su, Y. Pan, A. Benslimane, Y. Liu, T. H. Luan, and R. Li, “Trade Privacy for Utility: A Learning-Based Privacy Pricing Game in Federated Learning,” IEEE ICC 2023. (Accepted)

15. X. Hu, Y. Gao, G. Cheng, H. Wu, and R. Li, “A Learning-based Honeypot Game for Collaborative Defense in UAV Networks,” IEEE Globecom 2022, Dec. 2022.

14. X. Hu, Y. Gao, G. Cheng, H. Wu, and R. Li, “An Adversarial Learning-based Tor Malware Traffic Detection Model,” IEEE Globecom 2022, Dec. 2022.

13. R. Cong, Y. Liu, Y. Wang, K. Tago, R. Li, H. Asaeda, and Q. Jin, “Secure Interoperation of Blockchain and IPFS Through Client Application Enabled by CP-ABE,” Human-Computer Interaction International (HCII 2022), 2022.

12. X. Ji, B. Han, R. Li, C. Xu, and Y. Li, “ACCeSS: Adaptive QoS-aware Congestion Control for Multipath TCP,” IEEE/ACM International Symposium on Quality of Service (IEEE/ACM IWQoS 2022), 2022. 

11. H. Zeng, R. Li, Z. Su, Q. Xu, M. Dai, T. H. Luan, Y. Wang, D. Liu, X. Sun, “Collaborative Computation Offloading for UAVs and USV Fleets in Communication Networks,” International Wireless Communications and Mobile Computing Conference (IWCMC 2022), May 30-June 3, 2022. 

10. X. Luo, Z. Xu, K. Xue, Q. Jiang, R. Li and D. Wei, “ScalaCert: Scalability-Oriented PKI with Redactable Consortium Blockchain Enabled “On-Cert” Certificate Revocation,” 42nd IEEE International Conference on Distributed Computing Systems (IEEE ICDCS 2022), 2022.

9. H. Yamanaka, Y. Teranishi, Y. Hayamizu, A. Ooka, K. Matsuzono, R. Li, and H. Asaeda, “User-centric In-network Caching Mechanism for Off-chain Storage with Blockchain,” IEEE ICC 2022, May 2022.

8. R. Xing, Z. Su, T. Luan, Q. Xu, Y. Wang, R. Li, and A. Benslimane, “UAVs Assisted Secure Blockchain Offline Transactions for V2V Charging Among Electric Vehicles in Disaster Area,” IEEE ICC 2022, May 2022.

7. X. Hu, M. Li, G. Cheng, R. Li, H. Wu, and J. Gong, “Towards Accurate DGA Detection based on Siamese Network with Insufficient Training Samples,” IEEE ICC 2022, May 2022.

6. R. Cong, Y. Liiu, K. Tago, R. Li, H. Asaeda, and Q. Jin, “Individual-Initiated Auditable Access Control for Privacy-Preserved IoT Data Sharing with Blockchain,” IEEE ICC 2021 the 3rd International Workshop on Data Driven Intelligence for Networks and Systems, 2021, May 2021.

5. R. Li, H. Asaeda, “FSCC: Flexible Smart Contract Interaction with Access Control for Blockchain,” IEEE ICC 2021, 2021. 

4. P. Cong, Y. Zhang, W. Wang, K. Xu, R. Li, and F. Li, “A Deep Reinforcement Learning-based Routing Scheme with Two Modes for Dynamic Networks,” IEEE ICC 2021, 2021. 

3. Q. Xu, Z. Su, R. Li, K. Asatani, “Game Theoretical Secure Bandwidth Allocation in UAV-assisted Heterogeneous Networks,” IEEE ICC 2021, 2021.

2. S. Gao, S. Yao, and R. Li, “Transferable Adversarial Defense by Fusing Reconstruction Learning and Denoising Learning,” IEEE INFOCOM BigSecurity 2021, 2021. 

1. Y. Wang, Z. Su, Q. Xu, R. Li, H. Luan, “Lifesaving with RescueChain: Energy-Efficient and Partition-Tolerant Blockchain Based Secure Information Sharing for UAV-Aided Disaster Rescue,” IEEE International Conference on Computer Communications (IEEE INFOCOM 2021), 2021

Domestic Conferences:

1. 中橋徳子, 李 睿棟, “車車間通信におけるブロックチェーンに基づく階層的な信頼性評価方法,” IEICE SeMI Technical Report, Jan. 21, 2022.

2. 福本 駿, 李 睿棟, “連合学習におけるストラグラーによる影響 に関する研究,” IEICE SeMI Technical Report, Jan. 21, 2022.

3. 平山智己, 李 睿棟, “分散型機械学習に向けた名前ベース学習ネットワーク,” IEICE SeMI Technical Report, Jan. 21, 2022.

4. 田中歩武, 李 睿棟, 大和田泰伯, “災害救護のための情報指向動的ネットワークに関する研究,” IEICE ICN Technical Report, Aug. 22, 2023.