A variety of analytical models were established for the study of node selfish influence assessment in the opportunistic network in the past.However

how to apply these theoretical models was not considered.In this paper

we analyzed the impact of the evaluation model on the selfish nodes of the networks with or without TTL limitation

and proposed a self-private model based on message classification to evaluate the influence of selfish nodes on delay and message delivery rate.The analysis shows that the opportunistic network is affected not only by the number of selfish nodes

but by the speed of the nodes and the range of message transmission.Therefore

we can improve the performance of the network by adjusting these parameters and reduce the impact on selfish nodes.Firstly

we obtain the message transmission range of the number of cooperative nodes under the delay guarantee of 2-hop routing and epidemic routing and the TTL of the message of the epidemic routing guaranteed by the message delivery rate through the theoretical derivation.Subsequently

we proved that the theoretical value of the network performance under the influence of selfish behavior is similar to the experimental value and the parameter values obtained by theoretical analysis are also similar to the experimental values through the evaluation of the influence of the ONE simulation platform on the selfish nodes.