Abstract
In this work we present the simulation of a swarm of nanobots that behave in a distributed fashion and communicate through vibrations, permitting a decentralized control to treat endogenous diseases of the brain. Each nanobot is able to recognize a cancer cell, eliminate it and announces through a communication based on acoustic signals the presence of the cancer to the other nanobots. We assume that our nano-devices vibrate and these vibrations cause acoustic waves that propagate into the brain with some intensity that we evaluated by taking into account the specific physical factors of the context, the nano-metric nature of the vibrant devices and the characteristic of the fluid where the devices are immersed. An important aspect of our approach is related to the communication based on vibrations. This choice is related to the application context where is not advisable either to use indiscriminate chemical substances or electromagnetic waves. Whereas, ultrasonic waves are used in the most frequent diagnostic techniques and the use of this kind of techniques should not have negative collateral effects. Specifically, we propose an approach based on bees’ behavior in order to allow our devices to communicate, coordinate and reach the common objective to destroy the cancerous tissues. In order to evaluate the effectiveness of our technique, we compared it with other techniques 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 velocity of destruction.
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© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Loscrí, V., Natalizio, E., Mannara, V., Aloi, G. (2014). A Novel Communication Technique for Nanobots Based on Acoustic Signals. In: Di Caro, G., Theraulaz, G. (eds) Bio-Inspired Models of Network, Information, and Computing Systems. BIONETICS 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 134. Springer, Cham. https://doi.org/10.1007/978-3-319-06944-9_7
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DOI: https://doi.org/10.1007/978-3-319-06944-9_7
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