Simulation of a vessel sensor network of ZigBee standard
The subject of the paper is a vessel sensor network designed to collect data from wireless sensors for various purposes. The peculiarity of this network application is the presence of a large number of premises, wireless communication between which is complicated. One of the possible approaches to s...
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Published in | Journal of physics. Conference series Vol. 2061; no. 1; pp. 12075 - 12081 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
IOP Publishing
01.10.2021
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Online Access | Get full text |
ISSN | 1742-6588 1742-6596 |
DOI | 10.1088/1742-6596/2061/1/012075 |
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Abstract | The subject of the paper is a vessel sensor network designed to collect data from wireless sensors for various purposes. The peculiarity of this network application is the presence of a large number of premises, wireless communication between which is complicated. One of the possible approaches to solving this problem is to use coordinators connected by a switch into a local network, and a large number of routers that provide data relaying along the chain. Studies of the proposed vessel wireless network in the OMNeT ++ simulation modeling environment using Castalia framework are carried out in the paper. The process of modeling both the network itself and its individual components, and various modes of their operation is shown. The interaction of network nodes through intermediate routers is considered. Estimation of losses during packet delivery along a chain of routers, the time spent on processing packets in routers and delays in packet delivery to the network coordinator from the sending node is based on the compiled model. It is concluded that with the increasing complexity of the network structure (growth in the number of routers), there is a proportional rise of the packets delivery delay over the wireless network to the vessel local network. However, all transmitted packets are delivered to the addressee. |
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AbstractList | The subject of the paper is a vessel sensor network designed to collect data from wireless sensors for various purposes. The peculiarity of this network application is the presence of a large number of premises, wireless communication between which is complicated. One of the possible approaches to solving this problem is to use coordinators connected by a switch into a local network, and a large number of routers that provide data relaying along the chain. Studies of the proposed vessel wireless network in the OMNeT ++ simulation modeling environment using Castalia framework are carried out in the paper. The process of modeling both the network itself and its individual components, and various modes of their operation is shown. The interaction of network nodes through intermediate routers is considered. Estimation of losses during packet delivery along a chain of routers, the time spent on processing packets in routers and delays in packet delivery to the network coordinator from the sending node is based on the compiled model. It is concluded that with the increasing complexity of the network structure (growth in the number of routers), there is a proportional rise of the packets delivery delay over the wireless network to the vessel local network. However, all transmitted packets are delivered to the addressee. |
Author | Buzenkov, I I Redkin, Iu V Tyufanova, A A Khaleeva, E P |
Author_xml | – sequence: 1 givenname: I I surname: Buzenkov fullname: Buzenkov, I I organization: Admiral Ushakov Maritime State University , Russian Federation – sequence: 2 givenname: Iu V surname: Redkin fullname: Redkin, Iu V organization: Admiral Ushakov Maritime State University , Russian Federation – sequence: 3 givenname: A A surname: Tyufanova fullname: Tyufanova, A A organization: Admiral Ushakov Maritime State University , Russian Federation – sequence: 4 givenname: E P surname: Khaleeva fullname: Khaleeva, E P organization: Admiral Ushakov Maritime State University , Russian Federation |
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Title | Simulation of a vessel sensor network of ZigBee standard |
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