TY - GEN
T1 - DTN-Knca
T2 - 42nd IEEE Computer Software and Applications Conference, COMPSAC 2018
AU - Wang, Weitao
AU - Bai, Yuebin
AU - Feng, Peng
AU - Gu, Yuhao
AU - Liu, Shuai
AU - Jiang, Wenhao
AU - Huang, Jun
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2018/6/8
Y1 - 2018/6/8
N2 - In current routing algorithms based on encounter history in Delay-Tolerant Networks (DTNs), packets are always forwarded to nodes with highest probability to reach destination node. However, to the best of our knowledge, no analytical node transient contact pattern detection to achieve high performance, is reported in the literature. In this letter, DTN-Knca - a novel routing which detects frequently encountered nodes' transient contact patterns by correlation analysis is proposed. The trace-driven simulations demonstrate the higher throughput of DTN-Knca in comparison to the state-of-the-art DTN typical routing algorithms based on the encounter history knowledge.
AB - In current routing algorithms based on encounter history in Delay-Tolerant Networks (DTNs), packets are always forwarded to nodes with highest probability to reach destination node. However, to the best of our knowledge, no analytical node transient contact pattern detection to achieve high performance, is reported in the literature. In this letter, DTN-Knca - a novel routing which detects frequently encountered nodes' transient contact patterns by correlation analysis is proposed. The trace-driven simulations demonstrate the higher throughput of DTN-Knca in comparison to the state-of-the-art DTN typical routing algorithms based on the encounter history knowledge.
KW - Contact pattern detection
KW - Correlation analysis
KW - DTN
KW - Routing
UR - http://www.scopus.com/inward/record.url?scp=85055432908&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85055432908&origin=recordpage
U2 - 10.1109/COMPSAC.2018.00159
DO - 10.1109/COMPSAC.2018.00159
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781538626665
VL - 1
T3 - Proceedings - International Computer Software and Applications Conference
SP - 926
EP - 931
BT - Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018
PB - IEEE Computer Society
Y2 - 23 July 2018 through 27 July 2018
ER -