Efficient acoustic communication techniques for nanobots

In this work we present the simulation of a swarm of nanobots that behave in a distributed fashion and 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 through a communication based on acoustic signals the presence of the cancer to the other nanobots. Acoustic communication technique is supported from the use of many diagnostic techniques for many years that did not have negative collateral 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.