Research Article

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

Table 2

List of notations.

NotationDescriptionNotationDescription

DTN environmentNumber of the current node encounters nondestination nodes
Set of statesNumber of the current node that encounters the destination node
A state of Encounter weight
Set of actionsTotal number of the current node that encounters other nodes in the network
An action of Average contact interval between the current node and other nodes
Destination nodeThe minimum contact interval between the current node and other nodes in the network
Future rewards of taking an action to the destination node The maximum contact interval between the current node and other nodes in the network
Current nodeSpeed of the current node at the current time
Reward function of current node taking action of selecting as the next hop to the destination node The lowest speed of the current node in the network
Value of the future rewardsThe highest speed of the current node in the network
Value of the future rewardsAging constant of value
Set of neighbors of node Number of time units having elapsed
Set of neighbors of destination nodeBalance factor
Neighbor of node Scaling constant
Neighbor of node Mixed future reward
Neighbor of node with the maximum value of Time period of hot zone
Neighbor of node with the maximum value of The contact interval between the node and the destination node in the hot zone
Discount factorHot zone strength of node in the hot zone
Learning rateAging constant of hot zone
Number of hops from the source node to the destination nodeNumber of time units having elapsed of hot zone
Fuzzy reward coefficient of current node relative to destination node Joint coefficient
Fuzzy weightJoint utility function