Information Sharing Scheme Using AoI for DTN-based Evacuation System
In recent years, Japan has frequently experienced natural disasters such as earthquakes and typhoons, necessitating the rapid and accurate acquisition of evacuation support information. However, during such disasters, communication infrastructure may be damaged, making information sharing difficult....
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          | Published in | International Journal of Networking and Computing Vol. 15; no. 2; pp. 102 - 117 | 
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| Main Authors | , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
            IJNC Editorial Committee
    
        2025
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| Subjects | |
| Online Access | Get full text | 
| ISSN | 2185-2839 2185-2847  | 
| DOI | 10.15803/ijnc.15.2_102 | 
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| Abstract | In recent years, Japan has frequently experienced natural disasters such as earthquakes and typhoons, necessitating the rapid and accurate acquisition of evacuation support information. However, during such disasters, communication infrastructure may be damaged, making information sharing difficult. To address this issue, Delay/Disruption Tolerant Networking (DTN) technology has garnered attention. In this study, we propose a new information-sharing scheme for evacuation support systems using DTN. The proposed scheme leverages the Age of Information (AoI) to assess the freshness of information, discarding information that exceeds a certain AoI threshold. This ensures that evacuees can act based on the most recent and accurate information. Furthermore, by predicting the occupancy of evacuation centers in advance, the proposed scheme helps prevent situations where evacuation centers reach full capacity and can no longer accept evacuees, enabling a smoother evacuation process. Specifically, the scheme combines two prediction mechanisms: the first mechanism that estimates the number of evacuees based on the rate of increase information provided and transmitted by evacuation centers and the second mechanism that utilizes DTN to share estimated arrival times among evacuees to predict the number of evacuees in the destination evacuation center. This approach facilitates more appropriate selection of the destination evacuation center. We evaluate the effectiveness of the proposed scheme through simulation experiments using real geographical information. Additionally, we discuss the impact of the proposed scheme on evacuation time, the number of evacuees, and the average evacuation time. Consequently, it is confirmed that the proposed scheme could provide shorter evacuation time with evacuees. | 
    
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| AbstractList | In recent years, Japan has frequently experienced natural disasters such as earthquakes and typhoons, necessitating the rapid and accurate acquisition of evacuation support information. However, during such disasters, communication infrastructure may be damaged, making information sharing difficult. To address this issue, Delay/Disruption Tolerant Networking (DTN) technology has garnered attention. In this study, we propose a new information-sharing scheme for evacuation support systems using DTN. The proposed scheme leverages the Age of Information (AoI) to assess the freshness of information, discarding information that exceeds a certain AoI threshold. This ensures that evacuees can act based on the most recent and accurate information. Furthermore, by predicting the occupancy of evacuation centers in advance, the proposed scheme helps prevent situations where evacuation centers reach full capacity and can no longer accept evacuees, enabling a smoother evacuation process. Specifically, the scheme combines two prediction mechanisms: the first mechanism that estimates the number of evacuees based on the rate of increase information provided and transmitted by evacuation centers and the second mechanism that utilizes DTN to share estimated arrival times among evacuees to predict the number of evacuees in the destination evacuation center. This approach facilitates more appropriate selection of the destination evacuation center. We evaluate the effectiveness of the proposed scheme through simulation experiments using real geographical information. Additionally, we discuss the impact of the proposed scheme on evacuation time, the number of evacuees, and the average evacuation time. Consequently, it is confirmed that the proposed scheme could provide shorter evacuation time with evacuees. | 
    
| Author | Tomoyuki Ohta Shoya Obayashi  | 
    
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| Cites_doi | 10.1109/CANDARW64572.2024.00012 10.1145/1030194.1015484 10.2197/ipsjjip.30.120 10.1109/CANDARW57323.2022.00047 10.1002/9781118511305 10.1109/INFCOM.2012.6195689 10.1109/JSAC.2021.3065072  | 
    
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| References | [7] S. Obayashi, and T. Ohta, Information sharing scheme using AoI for DTN-based evacuation systems and its evaluation, Proc. 2024 Twelfth International Symposium on Computing and Networking Workshops (CANDARW), pp.22-27, Nov. 2024. [2] S. Jain, K. Fall and R. Patra, Routing in a delay tolerant network, Proc. ACM SIGCOMM, vol.34, no.4, pp.145-158, 2004. [6] K. Shibutani, and A. Kobayashi, Effective disaster information-sharing system with content priority control, IEICE Trans. on Comm., vol.J104-B, no.10, pp.806-818, Oct. 2021. (written in Japanese) [12] C.K. Toh, Ad hoc mobile wireless networks protocols and systems, Prentice Hall, 2002. [13] S. Basagni, M. Conti, S. Giordano, and I. Stojmenovic, Mobile ad hoc networking: cutting edge directions, Wiley-IEEE Press, 2013. [4] H. Suzuki, and O. Mizuno, Moderated attribute-based transmission order control method in DTN, IEICE Trans. on Comm., vol.J106-B, no.2, pp.50-61, Feb. 2023. (written in Japanese) [9] R.D.Yates, Y.Sun, D.R.Brown, S.K.Kaul, E.Modiano, and S.Ulukus, Age of Information: An introduction and survey, IEEE Journal on Selected Areas in Communications, vol.39, no.5, pp.1183-1210, May 2021. [5] H. Suzuki, and O. Mizuno, Data transmission control method considering importance of data in DTN, IEICE Trans. on Comm., vol.J105-B, no.3, pp.114-127, March 2022. (written in Japanese) [14] OpenStreetMap, https://www.openstreetmap.org/, accessed May 2, 2025. [8] S. Kaul, R. Yates, and M. Gruteser, Real-time status: How often should one update?, Proc. IEEE INFOCOM, pp.2731-2735, March 2012. [3] Y. Yahara, A. Kato, M. Takai, and S. Ishihara, On interactions between evacuation behavior and information dissemination via heterogeneous DTN, Journal of Information Processing, vol.30, pp.120-129, Feb. 2022. [10] ns-3, https://www.nsnam.org/, accessed May 2, 2025. [1] A. Vahdat and D.Becker, Epidemic routing for partially-connected ad hoc networks, Technical Report, Duke University, April 2000. [11] Y.Matsunaga, and T.Ohta, An evacuation system using autonomous clustering-based MANET for sharing disaster information, Proc. 2022 Tenth International Symposium on Computing and Networking Workshops (CANDARW), pp.26-32, Nov. 2022. 11 12 13 14 1 2 3 4 5 6 7 8 9 10  | 
    
| References_xml | – reference: [12] C.K. Toh, Ad hoc mobile wireless networks protocols and systems, Prentice Hall, 2002. – reference: [7] S. Obayashi, and T. Ohta, Information sharing scheme using AoI for DTN-based evacuation systems and its evaluation, Proc. 2024 Twelfth International Symposium on Computing and Networking Workshops (CANDARW), pp.22-27, Nov. 2024. – reference: [10] ns-3, https://www.nsnam.org/, accessed May 2, 2025. – reference: [4] H. Suzuki, and O. Mizuno, Moderated attribute-based transmission order control method in DTN, IEICE Trans. on Comm., vol.J106-B, no.2, pp.50-61, Feb. 2023. (written in Japanese) – reference: [8] S. Kaul, R. Yates, and M. Gruteser, Real-time status: How often should one update?, Proc. IEEE INFOCOM, pp.2731-2735, March 2012. – reference: [9] R.D.Yates, Y.Sun, D.R.Brown, S.K.Kaul, E.Modiano, and S.Ulukus, Age of Information: An introduction and survey, IEEE Journal on Selected Areas in Communications, vol.39, no.5, pp.1183-1210, May 2021. – reference: [2] S. Jain, K. Fall and R. Patra, Routing in a delay tolerant network, Proc. ACM SIGCOMM, vol.34, no.4, pp.145-158, 2004. – reference: [5] H. Suzuki, and O. Mizuno, Data transmission control method considering importance of data in DTN, IEICE Trans. on Comm., vol.J105-B, no.3, pp.114-127, March 2022. (written in Japanese) – reference: [13] S. Basagni, M. Conti, S. Giordano, and I. Stojmenovic, Mobile ad hoc networking: cutting edge directions, Wiley-IEEE Press, 2013. – reference: [11] Y.Matsunaga, and T.Ohta, An evacuation system using autonomous clustering-based MANET for sharing disaster information, Proc. 2022 Tenth International Symposium on Computing and Networking Workshops (CANDARW), pp.26-32, Nov. 2022. – reference: [14] OpenStreetMap, https://www.openstreetmap.org/, accessed May 2, 2025. – reference: [6] K. Shibutani, and A. Kobayashi, Effective disaster information-sharing system with content priority control, IEICE Trans. on Comm., vol.J104-B, no.10, pp.806-818, Oct. 2021. (written in Japanese) – reference: [3] Y. Yahara, A. Kato, M. Takai, and S. Ishihara, On interactions between evacuation behavior and information dissemination via heterogeneous DTN, Journal of Information Processing, vol.30, pp.120-129, Feb. 2022. – reference: [1] A. Vahdat and D.Becker, Epidemic routing for partially-connected ad hoc networks, Technical Report, Duke University, April 2000. – ident: 7 doi: 10.1109/CANDARW64572.2024.00012 – ident: 5 – ident: 2 doi: 10.1145/1030194.1015484 – ident: 4 – ident: 1 – ident: 12 – ident: 10 – ident: 14 – ident: 3 doi: 10.2197/ipsjjip.30.120 – ident: 11 doi: 10.1109/CANDARW57323.2022.00047 – ident: 13 doi: 10.1002/9781118511305 – ident: 8 doi: 10.1109/INFCOM.2012.6195689 – ident: 9 doi: 10.1109/JSAC.2021.3065072 – ident: 6  | 
    
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