RoCNet: Spatial mobile data offload with user-behavior prediction through delay tolerant networks

Haruki Izumikawa, Jiro Katto

    研究成果: Conference contribution

    12 引用 (Scopus)

    抄録

    We present a robust cellular network (RoCNet) that combines a cellular and an opportunistic networks for spatial uplink mobile data offloading, which focuses on the spatial difference of the traffic load among areas (e.g., business district and residential area in the daytime). RoCNet realizes the spatial data offload by leveraging the store-carry-forward routing mechanism. In the area where traffic load is high, delay-tolerant data originated from a mobile terminal is directly forwarded to a nearby terminal using Bluetooth or wireless LAN instead of being transmitted to a congested cellular base station. When the data is carried by the nearby terminal to other area where the traffic load is low, the data is forwarded to a cellular base station. To enhance the offload effect, it is necessary for data to be forwarded to a terminal that moves to a low traffic load area. In this paper, we use the particle filter to predict user behavior. Before forwarding data between mobile terminals, the terminals exchange prediction results and decide whether or not the data should be forwarded. We conducted a computer simulation whose result shows RoCNet can spatially offload uplink traffic in a traffic concentration area to non-congested areas. As a result, RoCNet can suppress peak traffic by about 20 percent in a traffic-congested base station by distributing traffic to vicinity base stations.

    元の言語English
    ホスト出版物のタイトルIEEE Wireless Communications and Networking Conference, WCNC
    ページ2196-2201
    ページ数6
    DOI
    出版物ステータスPublished - 2013
    イベント2013 IEEE Wireless Communications and Networking Conference, WCNC 2013 - Shanghai
    継続期間: 2013 4 72013 4 10

    Other

    Other2013 IEEE Wireless Communications and Networking Conference, WCNC 2013
    Shanghai
    期間13/4/713/4/10

    Fingerprint

    Delay tolerant networks
    Base stations
    Bluetooth
    Local area networks
    Computer simulation
    Industry

    ASJC Scopus subject areas

    • Engineering(all)

    これを引用

    Izumikawa, H., & Katto, J. (2013). RoCNet: Spatial mobile data offload with user-behavior prediction through delay tolerant networks. : IEEE Wireless Communications and Networking Conference, WCNC (pp. 2196-2201). [6554902] https://doi.org/10.1109/WCNC.2013.6554902

    RoCNet : Spatial mobile data offload with user-behavior prediction through delay tolerant networks. / Izumikawa, Haruki; Katto, Jiro.

    IEEE Wireless Communications and Networking Conference, WCNC. 2013. p. 2196-2201 6554902.

    研究成果: Conference contribution

    Izumikawa, H & Katto, J 2013, RoCNet: Spatial mobile data offload with user-behavior prediction through delay tolerant networks. : IEEE Wireless Communications and Networking Conference, WCNC., 6554902, pp. 2196-2201, 2013 IEEE Wireless Communications and Networking Conference, WCNC 2013, Shanghai, 13/4/7. https://doi.org/10.1109/WCNC.2013.6554902
    Izumikawa H, Katto J. RoCNet: Spatial mobile data offload with user-behavior prediction through delay tolerant networks. : IEEE Wireless Communications and Networking Conference, WCNC. 2013. p. 2196-2201. 6554902 https://doi.org/10.1109/WCNC.2013.6554902
    Izumikawa, Haruki ; Katto, Jiro. / RoCNet : Spatial mobile data offload with user-behavior prediction through delay tolerant networks. IEEE Wireless Communications and Networking Conference, WCNC. 2013. pp. 2196-2201
    @inproceedings{c2002480ad494af58b27e380b0f37044,
    title = "RoCNet: Spatial mobile data offload with user-behavior prediction through delay tolerant networks",
    abstract = "We present a robust cellular network (RoCNet) that combines a cellular and an opportunistic networks for spatial uplink mobile data offloading, which focuses on the spatial difference of the traffic load among areas (e.g., business district and residential area in the daytime). RoCNet realizes the spatial data offload by leveraging the store-carry-forward routing mechanism. In the area where traffic load is high, delay-tolerant data originated from a mobile terminal is directly forwarded to a nearby terminal using Bluetooth or wireless LAN instead of being transmitted to a congested cellular base station. When the data is carried by the nearby terminal to other area where the traffic load is low, the data is forwarded to a cellular base station. To enhance the offload effect, it is necessary for data to be forwarded to a terminal that moves to a low traffic load area. In this paper, we use the particle filter to predict user behavior. Before forwarding data between mobile terminals, the terminals exchange prediction results and decide whether or not the data should be forwarded. We conducted a computer simulation whose result shows RoCNet can spatially offload uplink traffic in a traffic concentration area to non-congested areas. As a result, RoCNet can suppress peak traffic by about 20 percent in a traffic-congested base station by distributing traffic to vicinity base stations.",
    keywords = "Data offload, DTN, Particle filter, Store-carry-forward, Traffic offload",
    author = "Haruki Izumikawa and Jiro Katto",
    year = "2013",
    doi = "10.1109/WCNC.2013.6554902",
    language = "English",
    isbn = "9781467359399",
    pages = "2196--2201",
    booktitle = "IEEE Wireless Communications and Networking Conference, WCNC",

    }

    TY - GEN

    T1 - RoCNet

    T2 - Spatial mobile data offload with user-behavior prediction through delay tolerant networks

    AU - Izumikawa, Haruki

    AU - Katto, Jiro

    PY - 2013

    Y1 - 2013

    N2 - We present a robust cellular network (RoCNet) that combines a cellular and an opportunistic networks for spatial uplink mobile data offloading, which focuses on the spatial difference of the traffic load among areas (e.g., business district and residential area in the daytime). RoCNet realizes the spatial data offload by leveraging the store-carry-forward routing mechanism. In the area where traffic load is high, delay-tolerant data originated from a mobile terminal is directly forwarded to a nearby terminal using Bluetooth or wireless LAN instead of being transmitted to a congested cellular base station. When the data is carried by the nearby terminal to other area where the traffic load is low, the data is forwarded to a cellular base station. To enhance the offload effect, it is necessary for data to be forwarded to a terminal that moves to a low traffic load area. In this paper, we use the particle filter to predict user behavior. Before forwarding data between mobile terminals, the terminals exchange prediction results and decide whether or not the data should be forwarded. We conducted a computer simulation whose result shows RoCNet can spatially offload uplink traffic in a traffic concentration area to non-congested areas. As a result, RoCNet can suppress peak traffic by about 20 percent in a traffic-congested base station by distributing traffic to vicinity base stations.

    AB - We present a robust cellular network (RoCNet) that combines a cellular and an opportunistic networks for spatial uplink mobile data offloading, which focuses on the spatial difference of the traffic load among areas (e.g., business district and residential area in the daytime). RoCNet realizes the spatial data offload by leveraging the store-carry-forward routing mechanism. In the area where traffic load is high, delay-tolerant data originated from a mobile terminal is directly forwarded to a nearby terminal using Bluetooth or wireless LAN instead of being transmitted to a congested cellular base station. When the data is carried by the nearby terminal to other area where the traffic load is low, the data is forwarded to a cellular base station. To enhance the offload effect, it is necessary for data to be forwarded to a terminal that moves to a low traffic load area. In this paper, we use the particle filter to predict user behavior. Before forwarding data between mobile terminals, the terminals exchange prediction results and decide whether or not the data should be forwarded. We conducted a computer simulation whose result shows RoCNet can spatially offload uplink traffic in a traffic concentration area to non-congested areas. As a result, RoCNet can suppress peak traffic by about 20 percent in a traffic-congested base station by distributing traffic to vicinity base stations.

    KW - Data offload

    KW - DTN

    KW - Particle filter

    KW - Store-carry-forward

    KW - Traffic offload

    UR - http://www.scopus.com/inward/record.url?scp=84881607949&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84881607949&partnerID=8YFLogxK

    U2 - 10.1109/WCNC.2013.6554902

    DO - 10.1109/WCNC.2013.6554902

    M3 - Conference contribution

    AN - SCOPUS:84881607949

    SN - 9781467359399

    SP - 2196

    EP - 2201

    BT - IEEE Wireless Communications and Networking Conference, WCNC

    ER -