The Experts below are selected from a list of 150 Experts worldwide ranked by ideXlab platform
Mahdi Orooji - One of the best experts on this subject based on the ideXlab platform.
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drug Release Management for dynamic tdma based molecular communication
IEEE Transactions on Molecular Biological and Multi-Scale Communications, 2019Co-Authors: Hamid Khoshfekr Rudsari, Nader Mokari, Mohammad Reza Javan, Eduard A Jorswieck, Mahdi OroojiAbstract:In this paper, we design a drug Release mechanism for dynamic time division multiple access (TDMA)-based molecular communication via diffusion (MCvD) in case of having multiple transmitter units and a single receiver. In the proposed scheme, the communication frame is divided into several time slots in 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 multi-objective optimization problems 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: “fixed-time fixed-number of molecules” (FTFN), “fixed-time varying-number of molecules” (FTVN), “varying-time fixed-number of molecules” (VTFN), and “varying-time varying-number of molecules” (VTVN). For the channel model, we consider a 3-dimensional diffusive environment with drift in three directions. Simulation results show that the FTFN approach is the least complex one with BER around ${10}^{-2}$ , but, the VTVN is the most complex scenario with the BER around ${10}^{-8}$ .
Hamid Khoshfekr Rudsari - One of the best experts on this subject based on the ideXlab platform.
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drug Release Management for dynamic tdma based molecular communication
IEEE Transactions on Molecular Biological and Multi-Scale Communications, 2019Co-Authors: Hamid Khoshfekr Rudsari, Nader Mokari, Mohammad Reza Javan, Eduard A Jorswieck, Mahdi OroojiAbstract:In this paper, we design a drug Release mechanism for dynamic time division multiple access (TDMA)-based molecular communication via diffusion (MCvD) in case of having multiple transmitter units and a single receiver. In the proposed scheme, the communication frame is divided into several time slots in 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 multi-objective optimization problems 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: “fixed-time fixed-number of molecules” (FTFN), “fixed-time varying-number of molecules” (FTVN), “varying-time fixed-number of molecules” (VTFN), and “varying-time varying-number of molecules” (VTVN). For the channel model, we consider a 3-dimensional diffusive environment with drift in three directions. Simulation results show that the FTFN approach is the least complex one with BER around ${10}^{-2}$ , but, the VTVN is the most complex scenario with the BER around ${10}^{-8}$ .
Nader Mokari - One of the best experts on this subject based on the ideXlab platform.
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drug Release Management for dynamic tdma based molecular communication
IEEE Transactions on Molecular Biological and Multi-Scale Communications, 2019Co-Authors: Hamid Khoshfekr Rudsari, Nader Mokari, Mohammad Reza Javan, Eduard A Jorswieck, Mahdi OroojiAbstract:In this paper, we design a drug Release mechanism for dynamic time division multiple access (TDMA)-based molecular communication via diffusion (MCvD) in case of having multiple transmitter units and a single receiver. In the proposed scheme, the communication frame is divided into several time slots in 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 multi-objective optimization problems 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: “fixed-time fixed-number of molecules” (FTFN), “fixed-time varying-number of molecules” (FTVN), “varying-time fixed-number of molecules” (VTFN), and “varying-time varying-number of molecules” (VTVN). For the channel model, we consider a 3-dimensional diffusive environment with drift in three directions. Simulation results show that the FTFN approach is the least complex one with BER around ${10}^{-2}$ , but, the VTVN is the most complex scenario with the BER around ${10}^{-8}$ .
Mohammad Reza Javan - One of the best experts on this subject based on the ideXlab platform.
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drug Release Management for dynamic tdma based molecular communication
IEEE Transactions on Molecular Biological and Multi-Scale Communications, 2019Co-Authors: Hamid Khoshfekr Rudsari, Nader Mokari, Mohammad Reza Javan, Eduard A Jorswieck, Mahdi OroojiAbstract:In this paper, we design a drug Release mechanism for dynamic time division multiple access (TDMA)-based molecular communication via diffusion (MCvD) in case of having multiple transmitter units and a single receiver. In the proposed scheme, the communication frame is divided into several time slots in 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 multi-objective optimization problems 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: “fixed-time fixed-number of molecules” (FTFN), “fixed-time varying-number of molecules” (FTVN), “varying-time fixed-number of molecules” (VTFN), and “varying-time varying-number of molecules” (VTVN). For the channel model, we consider a 3-dimensional diffusive environment with drift in three directions. Simulation results show that the FTFN approach is the least complex one with BER around ${10}^{-2}$ , but, the VTVN is the most complex scenario with the BER around ${10}^{-8}$ .
Eduard A Jorswieck - One of the best experts on this subject based on the ideXlab platform.
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drug Release Management for dynamic tdma based molecular communication
IEEE Transactions on Molecular Biological and Multi-Scale Communications, 2019Co-Authors: Hamid Khoshfekr Rudsari, Nader Mokari, Mohammad Reza Javan, Eduard A Jorswieck, Mahdi OroojiAbstract:In this paper, we design a drug Release mechanism for dynamic time division multiple access (TDMA)-based molecular communication via diffusion (MCvD) in case of having multiple transmitter units and a single receiver. In the proposed scheme, the communication frame is divided into several time slots in 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 multi-objective optimization problems 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: “fixed-time fixed-number of molecules” (FTFN), “fixed-time varying-number of molecules” (FTVN), “varying-time fixed-number of molecules” (VTFN), and “varying-time varying-number of molecules” (VTVN). For the channel model, we consider a 3-dimensional diffusive environment with drift in three directions. Simulation results show that the FTFN approach is the least complex one with BER around ${10}^{-2}$ , but, the VTVN is the most complex scenario with the BER around ${10}^{-8}$ .