TY - GEN
T1 - Adaptive routing based on bayesian network and fuzzy decision algorithm in delay-tolerant network
AU - Liang, Jiaojiao
AU - Bai, Yuebin
AU - Bi, Chongguang
AU - Sun, Zhenxi
AU - Yan, Changjiang
AU - Liang, Hongquan
PY - 2014
Y1 - 2014
N2 - The topology of delay-tolerant network (DTN) changes frequently. The whole network is disconnected and there exists no end-to-end path for messages. We need a kind of mechanism called store-carry-forward to overcome this fault in DTN. However, traditional end-to-end routing protocols do not meet this requirements. Researchers developed many kinds of DTN routing protocols and different routing protocol fits different application characteristics. Because of the variable application characteristics, we should choose suitable routing protocols according to application requirements. For example, if the current traffic is heavy or the size of the message is too big, we should use routing protocols with small copy number, if the transmission is emergent, we should use routing protocols with short delay. This paper proposes the concept of adaptive routing, meaning choosing routing protocols based on application characteristics in DTN. We develop an adaptive routing scheme according to particular requirements, history network information and current network conditions in network scenarios and validate that with adaptive routing scheme the network performances improve a lot in many aspects, such as delay, overhead and delivery through simulations.
AB - The topology of delay-tolerant network (DTN) changes frequently. The whole network is disconnected and there exists no end-to-end path for messages. We need a kind of mechanism called store-carry-forward to overcome this fault in DTN. However, traditional end-to-end routing protocols do not meet this requirements. Researchers developed many kinds of DTN routing protocols and different routing protocol fits different application characteristics. Because of the variable application characteristics, we should choose suitable routing protocols according to application requirements. For example, if the current traffic is heavy or the size of the message is too big, we should use routing protocols with small copy number, if the transmission is emergent, we should use routing protocols with short delay. This paper proposes the concept of adaptive routing, meaning choosing routing protocols based on application characteristics in DTN. We develop an adaptive routing scheme according to particular requirements, history network information and current network conditions in network scenarios and validate that with adaptive routing scheme the network performances improve a lot in many aspects, such as delay, overhead and delivery through simulations.
KW - adaptive routing
KW - Bayesian network
KW - DTN
KW - Fuzzy Decision algorithm
KW - intelligent decision
UR - https://www.scopus.com/pages/publications/84903999668
U2 - 10.1109/HPCC.and.EUC.2013.102
DO - 10.1109/HPCC.and.EUC.2013.102
M3 - 会议稿件
AN - SCOPUS:84903999668
SN - 9780769550886
T3 - Proceedings - 2013 IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 2013 IEEE International Conference on Embedded and Ubiquitous Computing, EUC 2013
SP - 690
EP - 697
BT - Proceedings - 2013 IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 2013 IEEE International Conference on Embedded and Ubiquitous Computing, EUC 2013
PB - IEEE Computer Society
T2 - 15th IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 11th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2013
Y2 - 13 November 2013 through 15 November 2013
ER -