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• W2973521779 abstract "Although the cooperative transmission techniques have been developed for wireless sensor networks (WSNs) in recent years to improve the network transmission rate, delay and the bit error rate (BER) performance, the unique characteristics of the molecular communication (MC), such as implementing in nano-to-micro scale, the dynamic environment and the various network topology, make it extremely necessary to reconsider the implementation and analysis of the cooperative relay transmission. In this paper, we analyze and investigate the molecular communication network consisting of single transmitter and receiver nanomachines with the same type of carrier molecule. This communication takes place over an intelligent agent that aggregates the sensed data and simplify the complexity of the relaying algorithms to assist our communication channel, in which intermediate agent do not attempt to decode the information. This paper will improve the IADSS architecture to support the cooperative decision process by utilizing an intelligent agent in combination with pulse energy ratio and the sense-and-release technique. Furthermore, the inter-symbol interference (ISI) problem and reception noise are considered. The results illustrate that IAFDSS scheme is the powerful technique in improving the BER performance up to 10dB SNR gain compared to the state-of-the-art relaying schemes. As a result, this scheme can be substantially reduced the complexity of the receiver’s threshold-based detection strategy. Finally, experimental results show that the MC throughput of the entire network is greatly increased by exploiting the benefit of the cooperative intelligent agent with the sense-and-release technique." @default.
• W2973521779 created "2019-09-26" @default.
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• W2973521779 date "2019-04-01" @default.
• W2973521779 modified "2023-09-25" @default.
• W2973521779 title "IAFDSS: Intelligent Agent-Assisted Fuzzy Decision Support System for Diffusion-Based Molecular Nano Communication Networks" @default.
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• W2973521779 doi "https://doi.org/10.1109/syscon.2019.8836837" @default.
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