Remote sensor systems experience basic investigation of network security because of inexplicable operational imperatives. The challenge flinches with the fragment of worms in the remote system. A solitary contaminated hub is adequate to spread the worms over the entire system. The tainted hub hastily contaminates the contiguous hubs in a relentless way. In this paper, a scientific model depending on pandemic hypothesis is proposed which is an enhancement of the SIRS, SEIS, SEIRS models. SEIQRV (susceptible-exposed-infectious-quaraintain-recovered-vaccinated) model enriched with the additive white noise conquers the hindrances of existing models. Using Routh-Hurwitz criteria, reproduction number, existence of steady states, and stability about endemic steady state are analyzed. The proposed system’s stability is substantiated varying for different values of communication radii and node densities. The additional constituent to the proposed model is the stochastic fluctuation implemented and the examination of the stochastic variations. This model incorporates a limited correspondence span and the related hub thickness. The assessment of the proposed model with other existing models are presented and analyzed based on different executions. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.