Efficient Acoustic Communication Techniques for Nanobots

In this work we present the simulation of a swarm of nanobots that communicate through vibrations, allowing a decentralized control to treat endogenous diseases of the brain. Each nanobot is able to recognize a cancer cell, eliminate it and announce the presence of the cancer, to other nanobots, through a communication based on acoustic signals. Acoustic communication technique is supported from the ordinary use of many diagnostic techniques that did not have negative side effects. We propose an approach based on the bees behavior in order to allow our devices to communicate, coordinate and reach the common objective to destroy the cancerous cells. In order to evaluate the effectiveness of our technique, we compared it with another technique known in literature and simulation results showed the effectiveness of our technique both in terms of achievement of the objective, that is the destruction of the cancerous cells, and the velocity of destruction.