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Health monitoring scheme‐based Forster resonance energy transfer nanocommunications in the Internet of Biological Nanothings
Author(s) -
Abd Elatty Saied M.
Publication year - 2020
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.4398
Subject(s) - molecular communication , computer science , förster resonance energy transfer , transmitter , bit error rate , transmission (telecommunications) , scheme (mathematics) , mimo , wireless , energy (signal processing) , algorithm , electronic engineering , theoretical computer science , topology (electrical circuits) , computer network , telecommunications , decoding methods , channel (broadcasting) , physics , mathematics , electrical engineering , engineering , mathematical analysis , quantum mechanics , fluorescence
Summary In this paper, a health monitoring approach for a targeted drug delivery (TDD) system taking into consideration the binding of drug to a target cell is proposed. The proposed scheme is mainly based on Forster resonance energy transfer (FRET) nanocommunications and the physical phenomenon such as protein–protein interactions in biological systems, in order to propose a molecular communication system with various forms for single and/or multiple ligand–receptor binding. Inspired by classical wireless communication system, the analysis of proposed scheme in terms of bit error rate (BER) and mutual information between the transmitter nanomachine (TN) and receiver nanomachine (RN) is presented. Subsequently, we are able to obtain a closed‐form expression for BER for the proposed scheme. The proposed scheme can be employed in the promising Internet of Biological Nanothings (IoBNT) paradigm. The numerical results reveal that the proposed scheme with multiple donors multiple acceptors system analogous to multiple input multiple output (MIMO) communication system is a superior scheme for transmission therapeutic drug information with achievable BER.