A Fuzzy-Logic-Based Double -Learning Routing in Delay-Tolerant Networks

Table 1

Comparison of related routing protocols.

Name of protocol	Routing history	Learning method	Routing/reward mechanism	Fuzzy logic	Fuzzy input parameter	Drop policy	Network type
Epidemic [5]	—	—	—	—	—	—	DTNs
PRoPHET [9]	Yes	—	Contact probability	—	—	—	DTNs
PER [12]	Yes	—	Contact time	—	—	—	DTNs
QLAODV [15]	Yes		Link status	—	—	—	Ad hoc
ARBR [16]	Yes		Mobility statistics; congestion; buffer occupancy	—	—	—	DTNs
QKS [17]	Yes		Kinematic and sweeping features	—		—	Ad hoc
DTRB [10]	Yes		Time to destination	—	—	—	DTNs
DQLR [11]	Yes	Double	Dynamic reward; intermediate value	—	—	—	DTNs
AFSnW [19]	Yes	—	Prioritization of message	Yes	Forward transmission count; message size	Yes	DTNs
EFSnWR [20]	Yes	—	Prioritization of message	Yes	Number of replicas; message size; remaining TTL	Yes	DTNs
AFRON [21]	Yes	—	Prioritization of message	Yes	Forward transmission count; message size; remaining TTL	—	DTNs
FPBR-DTN [22]	Yes	—	Forwarding chance	Yes	Number of neighbors; speed; direction; distance	—	Ad hoc/DTNs
FQLAODV [23]	Yes		Link status	Yes	Bandwidth; mobility; signal strength	—	Ad hoc
FQLRP [24]	Yes		Reward	Yes	Energy; movement; buffer	—	DTNs
FDQLR	Yes	Double	Dynamic reward; intermediate value; hot zone	Yes	Node activity; contact interval; movement speed	Yes	DTNs