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On Effect of Adversaries in a Cooperative MCvD Network and Filtering Mechanism
Ist Teil von
2023 IEEE Wireless Communications and Networking Conference (WCNC), 2023, p.1-6
Ort / Verlag
IEEE
Erscheinungsjahr
2023
Quelle
IEL
Beschreibungen/Notizen
In this paper, we have considered a cooperative Molecular Communication via Diffusion (MCvD) network in the presence of adversaries. We have mathematically modelled the adversarial receiver distribution and analyzed its effect on the system performance. The fusion center (FC) gathers all the local information from the receivers and applies the OR or AND rule to the local decisions to arrive at a global decision. We have computed the bit error rate (BER) performance and proposed "η-min filtering" and "η-max filtering" algorithms to improve the system reliability by reducing the BER. It is also shown that the FC chooses the proper filtering algorithm depending on the adversarial receiver distribution and the logical operation to get the best performance.