An Analytical Approach to Flow-Guided Nanocommunication Networks
Continuous progress of nanocommunications and nano-networking is opening the door to the development of innovative yet unimaginable services, with a special focus on medical applications. Among several nano-network topologies, flow-guided nanocommunication networks have recently emerged as a promisi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-02-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/5/1332 |
| _version_ | 1811305466707312640 |
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| author | Rafael Asorey-Cacheda Sebastian Canovas-Carrasco Antonio-Javier Garcia-Sanchez Joan Garcia-Haro |
| author_facet | Rafael Asorey-Cacheda Sebastian Canovas-Carrasco Antonio-Javier Garcia-Sanchez Joan Garcia-Haro |
| author_sort | Rafael Asorey-Cacheda |
| collection | DOAJ |
| description | Continuous progress of nanocommunications and nano-networking is opening the door to the development of innovative yet unimaginable services, with a special focus on medical applications. Among several nano-network topologies, flow-guided nanocommunication networks have recently emerged as a promising solution to monitoring, gathering information, and data communication inside the human body. In particular, flow-guided nano-networks display a number of specific characteristics, such as the type of nodes comprising the network or the ability of a nano-node to transmit successfully, which significantly differentiates them from other types of networks, both at the nano and larger scales. This paper presents the first analytical study on the behavior of these networks, with the objective of evaluating their metrics mathematically. To this end, a theoretical framework of the flow-guided nano-networks is developed and an analytical model derived. The main results reveal that, due to frame collisions, there is an optimal number of nano-nodes for any flow-guided network, which, as a consequence, limits the maximum achievable throughput. Finally, the analytical results obtained are validated through simulations and are further discussed. |
| first_indexed | 2024-04-13T08:26:57Z |
| format | Article |
| id | doaj.art-8cbc1d5f21404175b03c941bf15cc8f4 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T08:26:57Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-8cbc1d5f21404175b03c941bf15cc8f42022-12-22T02:54:25ZengMDPI AGSensors1424-82202020-02-01205133210.3390/s20051332s20051332An Analytical Approach to Flow-Guided Nanocommunication NetworksRafael Asorey-Cacheda0Sebastian Canovas-Carrasco1Antonio-Javier Garcia-Sanchez2Joan Garcia-Haro3Department of Information and Communication Technologies, Universidad Politécnica de Cartagena, 30202 Cartagena, SpainDepartment of Information and Communication Technologies, Universidad Politécnica de Cartagena, 30202 Cartagena, SpainDepartment of Information and Communication Technologies, Universidad Politécnica de Cartagena, 30202 Cartagena, SpainDepartment of Information and Communication Technologies, Universidad Politécnica de Cartagena, 30202 Cartagena, SpainContinuous progress of nanocommunications and nano-networking is opening the door to the development of innovative yet unimaginable services, with a special focus on medical applications. Among several nano-network topologies, flow-guided nanocommunication networks have recently emerged as a promising solution to monitoring, gathering information, and data communication inside the human body. In particular, flow-guided nano-networks display a number of specific characteristics, such as the type of nodes comprising the network or the ability of a nano-node to transmit successfully, which significantly differentiates them from other types of networks, both at the nano and larger scales. This paper presents the first analytical study on the behavior of these networks, with the objective of evaluating their metrics mathematically. To this end, a theoretical framework of the flow-guided nano-networks is developed and an analytical model derived. The main results reveal that, due to frame collisions, there is an optimal number of nano-nodes for any flow-guided network, which, as a consequence, limits the maximum achievable throughput. Finally, the analytical results obtained are validated through simulations and are further discussed.https://www.mdpi.com/1424-8220/20/5/1332flow-guided nano-networksanalytical modelnanocommunications |
| spellingShingle | Rafael Asorey-Cacheda Sebastian Canovas-Carrasco Antonio-Javier Garcia-Sanchez Joan Garcia-Haro An Analytical Approach to Flow-Guided Nanocommunication Networks Sensors flow-guided nano-networks analytical model nanocommunications |
| title | An Analytical Approach to Flow-Guided Nanocommunication Networks |
| title_full | An Analytical Approach to Flow-Guided Nanocommunication Networks |
| title_fullStr | An Analytical Approach to Flow-Guided Nanocommunication Networks |
| title_full_unstemmed | An Analytical Approach to Flow-Guided Nanocommunication Networks |
| title_short | An Analytical Approach to Flow-Guided Nanocommunication Networks |
| title_sort | analytical approach to flow guided nanocommunication networks |
| topic | flow-guided nano-networks analytical model nanocommunications |
| url | https://www.mdpi.com/1424-8220/20/5/1332 |
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