11th International Conference on Body Area Networks

Research Article

Congestion Control for Biological Nanoscale Cyber-Physical Systems

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  • @INPROCEEDINGS{10.4108/eai.24-4-2017.152544,
        author={Luca Felicetti and Mauro Femminella and Gianluca Reali},
        title={Congestion Control for Biological Nanoscale Cyber-Physical Systems},
        proceedings={11th International Conference on Body Area Networks},
        publisher={EAI},
        proceedings_a={BODYNETS},
        year={2017},
        month={5},
        keywords={Congestion detection congestion control feedback-based rate con- trol diffusion-based molecular communications},
        doi={10.4108/eai.24-4-2017.152544}
    }
    
  • Luca Felicetti
    Mauro Femminella
    Gianluca Reali
    Year: 2017
    Congestion Control for Biological Nanoscale Cyber-Physical Systems
    BODYNETS
    EAI
    DOI: 10.4108/eai.24-4-2017.152544
Luca Felicetti1,*, Mauro Femminella1,*, Gianluca Reali1,*
  • 1: University of Perugia, CNIT RU
*Contact email: ing.luca.felicetti@gmail.com, mauro.femminella@unipg.it, gianluca.reali@unipg.it

Abstract

Cyberphysical systems (CPSs) are a new class of engineered systems that offer close interaction between cyber and physical components, by integrating three main components: communications, control, and computing. When these systems are brought to the nanoscale, some design and implementation issues arise. A further level of complexity is due to the use of biological components in a CPS, such as engineered cells, which may play the role of sensors, actuators, or even controller. In this paper we study the effectiveness of control solutions implemented through the usage of molecular communications in a biological nanoscale cyber-physical system (BioNanoCPS), where a biological nanomachine plays the role of actuator, that releases drug molecules, and another has the role of both sensor and controller. The goal of the proposal is to control the release rate, so that target cells can receive the desired amount of drug in a given time, by limiting potential side effects. Basically, we aim to limit congestion, which can arise when large amounts of molecules are released towards a target. To this aim, we propose a simple congestion detection scheme, and compare different rate control algorithms used to throttle the molecules release rate at the transmitter upon the reception of a feedback signal sent by the receiver. We validate the proposed techniques against delivery efficiency and delivery time of molecules by means of an extensive simulation campaign.