Nanosystems and Devices for Advanced Targeted Nanomedical Applications

Chude-Okonkwo, Uche A. K.; Malekian, Reza; Maharaj, B. T.

doi:10.1007/978-3-030-11003-1_3

Cited by 6 publications

(2 citation statements)

References 72 publications

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“…The pre-encoded nano-transmitters are the other cases of nano-transmitters, but they are not expandable after transmitting all the stored information molecules [9], and therefore, we do not utilize these models of nano-transmitters. Furthermore, the receiver is a passive spherical nanomachine counting the received molecules.…”

Section: System Modelmentioning

confidence: 99%

“…The MCvD systems which utilize the pre-encoded transmitter as the transmitter node can be categorized as the systems with low complexity. On the other hand, the MCvD systems which utilize the generic transmitter as the transmitter node can be categorized as the systems that can tolerate higher complexity [9]. To design the STSN-based MC system, we allocate uniform number of molecules and time duration to each transmitter node.…”

Section: A Static-time Static-number Of Molecules (Stsn)mentioning

confidence: 99%

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Drug Release Management for Dynamic TDMA-Based Molecular Communication

Rudsari¹,

Mokari²,

Javan³

et al. 2019

Preprint

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In this paper, we design a drug release mechanism for dynamic time division multiple access (TDMA)-based molecular communication via diffusion (MCvD). In the proposed scheme, the communication frame is divided into several time slots over each of which a transmitter nanomachine is scheduled to convey its information by releasing the molecules into the medium. To optimize the number of released molecules and the time duration of each time slot (symbol duration), we formulate a multiobjective optimization problem whose objective functions are the bit error rate (BER) of each transmitter nanomachine. Based on the number of released molecules and symbol durations, we consider four cases, namely: "static-time static-number of molecules" (STSN), "static-time dynamic-number of molecules" (STDN), "dynamic-time static-number of molecules" (DTSN), and "dynamic-time dynamic-number of molecules" (DTDN). We consider three types of medium in which the molecules are propagated, namely: "mild diffusive environment" (MDE), "moderate diffusive environment" (MODE), and "severe diffusive environment" (SDE). For the channel model, we consider a 3-dimensional (3D) diffusive environment, such as blood, with drift in three directions. Simulation results show that the STSN approach is the least complex one with BER around 10 -2 , but, the DTDN is the most complex scenario with the BER around 10 -8 .

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Section: System Modelmentioning

confidence: 99%

Section: A Static-time Static-number Of Molecules (Stsn)mentioning

confidence: 99%