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Software and Systems Group, Waterford Institute of Technology, Waterford, X91 K0EK, Ireland \n Federal Institute of Education, Science and Technology of Paraíba, João Pessoa, 58000-000, Brazil \n Cited By :5 \n Export Date: 17 March 2021 \n Correspondence Address: Barros, M.T.; Telecommunication Software and Systems Group, Ireland; email: mbarros@tssg.org \n Funding details: Science Foundation Ireland, SFI, 13/RC/2077 \n Funding details: Irish Research Council, GOIPD/2016/650 \n Funding text 1: This work was supported in part by the Science Foundation Ireland via the CONNECT Research Centre under Grant 13/RC/2077 and in part by the Irish Research Council through the Government of Ireland Post-Doctoral Fellowship under Grant GOIPD/2016/650.\nFunding Agency and Grant Number: Science Foundation Ireland via the CONNECT Research CentreScience Foundation Ireland [13/RC/2077]; Irish Research Council through the Government of Ireland Post-Doctoral Fellowship [GOIPD/2016/650]\n Funding text: 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"volume" : "6", "firstPage" : "78904", "lastPage" : "78917", "firstPageOrInternalIdForSort" : "78904", "pageLength" : 14, "publishedYear" : 2018, "abstractText" : "The Internet of Bio-Nano-Things is a new paradigm that can bring novel remotely controlled actuation and sensing techniques inside the human body. Toward precise bionano sensing techniques in the brain, we investigate the challenges of modeling spatial distribution of astrocyte networks by developing a mathematical framework that lays the groundwork for future early detection techniques of the neurode-generative disease. In this paper, we investigate the effect of the beta-amyloid plaques in astrocytes with Alzheimer's disease. We developed a computation model of healthy and Alzheimer's diseases astrocytes networks from the state-of-the-art models and results that account for the intracellular pathways, IP3 dynamics, gap junctions, voltage-gated calcium channels, and astrocytes volumes. We also implemented different types of astrocytes network topologies, including shortcut networks, regular degree networks, Erdos Renyi networks, and link radius networks. A proposed multi-scale stochastic computational model captures the relationship between the intracellular and intercellular scales. Finally, we designed and evaluated a single-hop communication system with frequency modulation using metrics such as propagation extend, molecular delay, and channel gain. 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