Nature Inspired Node Density Estimation for Molecular NanoNetworks

Abstract

Inspired by the quorum sensing process, we propose and analyze a distributed density estimation scheme for molecular nanonetworks, based on synchronous transmission of the network nodes and sensing of the received molecular concentration. We show that when infinite space transmission is employed, a linear static parametric model can be obtained to be used as a baseline for estimation algorithm design. When, however, the space is finite, the model becomes time varying and periodic broadcasting and integration over the broadcast period is employed to render the model static.