Publication: Best path selection algorithm for the internet of nano health things.
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Date
2025-08
Authors
Abedi, Abbas Fadhil Abdulabbas
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Abstract
Nanosensors are miniature devices made from nanomaterials or biological materials, designed to detect environmental changes. In biomedical use, invasive nanosensors are much smaller than non-invasive ones. Due to their tiny size and short communication range, terahertz frequencies are used for data transmission. However, in terahertz communication, signals degrade while traveling through body tissue due to molecular absorption and ducts in tissues. In this thesis, A new cooperative communication protocol for the Internet of Nano Health Things (IoNHT), referred to as the Best Path Selection in IoNHT (BPS-IoNHT), was developed. In parallel, an innovative communication scenario for Nano Body Sensor Networks (NBSN) was proposed. The BPS-IoNHT protocol was analytically modeled and evaluated in terms of path loss, outage probability, and bandwidth efficiency. Furthermore, a second protocol, named the Multi-Nano Source and Multi-Coordinator (MSMC), was designed based on a cooperative multi-hop communication framework. Its performance was assessed through mathematical analysis and simulation, focusing on successful transmission probability and adaptability under varying network conditions. The proposed protocols, Best Path Selection in IoNHT (BPS-IoNHT) and Multi-Nano Source and Multi-Coordinator Nano Node (MSMC), perform better. The outage probability has been reduced by 29%, and bandwidth efficiency has improved by 35% compared to recent work. Additionally, the average improvement of the successful transmutation probability for the MSMC over dual-hop communication is around 51%.