Research Article
Learning Automata Based Caching for Efficient Data Access in Delay Tolerant Networks
Require: Each node updates the action probability vector and eliminates obsolete votes. | Ensure: Each node updates the action probability vector and construct a new caching node set. | procedure UPDATING PROCESS | Update node information and eliminate obsolete information | Eliminate the obsolete vote weight values from | Eliminate the obsolete node information from | Eliminate the obsolete from | Determine the caching nodes set using the learning automata | if then determine the reward and penalty parameter | | else | | end if | if and then determine the reinforcement signal | | else | | end if | if then Reward | | else if then Penalty | | end if | if then Determine the caching node | | else | | end if | end procedure |
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