6 research outputs found
Abnormality Detection inside Blood Vessels with Mobile Nanomachines
Motivated by the numerous healthcare applications of molecular communication
within Internet of Bio-Nano Things (IoBNT), this work addresses the problem of
abnormality detection in a blood vessel using multiple biological embedded
computing devices called cooperative biological nanomachines (CNs), and a
common receiver called the fusion center (FC). Due to blood flow inside a
vessel, each CN and the FC are assumed to be mobile. In this work, each of the
CNs perform abnormality detection with certain probabilities of detection and
false alarm by counting the number of molecules received from a source, e.g.,
infected tissue. These CNs subsequently report their local decisions to a FC
over a diffusion-advection blood flow channel using different types of
molecules in the presence of inter-symbol interference, multi-source
interference, and counting errors. Due to limited computational capability at
the FC, OR and AND logic based fusion rules are employed to make the final
decision after obtaining each local decision based on the optimal likelihood
ratio test. For the aforementioned system, probabilities of detection and false
alarm at the FC are derived for OR and AND fusion rules. Finally, simulation
results are presented to validate the derived analytical results, which provide
important insights.Comment: Submitted to IEEE Transactions on Molecular, Biological, and
Multi-Scale Communications Letters for possible publicatio
Channel Modeling for Diffusive Molecular Communication - A Tutorial Review
Molecular communication (MC) is a new communication engineering paradigm
where molecules are employed as information carriers. MC systems are expected
to enable new revolutionary applications such as sensing of target substances
in biotechnology, smart drug delivery in medicine, and monitoring of oil
pipelines or chemical reactors in industrial settings. As for any other kind of
communication, simple yet sufficiently accurate channel models are needed for
the design, analysis, and efficient operation of MC systems. In this paper, we
provide a tutorial review on mathematical channel modeling for diffusive MC
systems. The considered end-to-end MC channel models incorporate the effects of
the release mechanism, the MC environment, and the reception mechanism on the
observed information molecules. Thereby, the various existing models for the
different components of an MC system are presented under a common framework and
the underlying biological, chemical, and physical phenomena are discussed.
Deterministic models characterizing the expected number of molecules observed
at the receiver and statistical models characterizing the actual number of
observed molecules are developed. In addition, we provide channel models for
time-varying MC systems with moving transmitters and receivers, which are
relevant for advanced applications such as smart drug delivery with mobile
nanomachines. For complex scenarios, where simple MC channel models cannot be
obtained from first principles, we investigate simulation-driven and
experimentally-driven channel models. Finally, we provide a detailed discussion
of potential challenges, open research problems, and future directions in
channel modeling for diffusive MC systems.Comment: 40 pages; 23 figures, 2 tables; this paper is submitted to the
Proceedings of IEE
Channel modeling for diffusive molecular communication - a tutorial review
Molecular communication (MC) is a new communication engineering paradigm where molecules are employed as information carriers. MC systems are expected to enable new revolutionary applications such as sensing of target substances in biotechnology, smart drug delivery in medicine, and monitoring of oil pipelines or chemical reactors in industrial settings. As for any other kind of communication, simple yet sufficiently accurate channel models are needed for the design, analysis, and efficient operation of MC systems. In this paper, we provide a tutorial review on mathematical channel modeling for diffusive MC systems. The considered end-to-end MC channel models incorporate the effects of the release mechanism, the MC environment, and the reception mechanism on the observed information molecules. Thereby, the various existing models for the different components of an MC system are presented under a common framework and the underlying biological, chemical, and physical phenomena are discussed. Deterministic models characterizing the expected number of molecules observed at the receiver and statistical models characterizing the actual number of observed molecules are developed. In addition, we provide channel models for timevarying MC systems with moving transmitters and receivers, which are relevant for advanced applications such as smart drug delivery with mobile nanomachines. For complex scenarios, where simple MC channel models cannot be obtained from first principles, we investigate simulation-driven and experiment-driven channel models. Finally, we provide a detailed discussion of potential challenges, open research problems, and future directions in channel modeling for diffusive MC systems