Using Link Disconnection Entropy Disorder to Detect Fast Moving Nodes in MANETs.
Mobile ad-hoc networks (MANETs) are dynamic by nature; this dynamism comes from node mobility, traffic congestion, and other transmission conditions. Metrics to evaluate the effects of those conditions shine a light on node's behavior in an ad-hoc network, helping to identify the node or nodes...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2016-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4878810?pdf=render |
| _version_ | 1818494085663555584 |
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| author | Carlos F Alvarez Luis E Palafox Leocundo Aguilar Mauricio A Sanchez Luis G Martinez |
| author_facet | Carlos F Alvarez Luis E Palafox Leocundo Aguilar Mauricio A Sanchez Luis G Martinez |
| author_sort | Carlos F Alvarez |
| collection | DOAJ |
| description | Mobile ad-hoc networks (MANETs) are dynamic by nature; this dynamism comes from node mobility, traffic congestion, and other transmission conditions. Metrics to evaluate the effects of those conditions shine a light on node's behavior in an ad-hoc network, helping to identify the node or nodes with better conditions of connection. In this paper, we propose a relative index to evaluate a single node reliability, based on the link disconnection entropy disorder using neighboring nodes as reference. Link disconnection entropy disorder is best used to identify fast moving nodes or nodes with unstable communications, this without the need of specialized sensors such as GPS. Several scenarios were studied to verify the index, measuring the effects of Speed and traffic density on the link disconnection entropy disorder. Packet delivery ratio is associated to the metric detecting a strong relationship, enabling the use of the link disconnection entropy disorder to evaluate the stability of a node to communicate with other nodes. To expand the utilization of the link entropy disorder, we identified nodes with higher speeds in network simulations just by using the link entropy disorder. |
| first_indexed | 2024-12-10T18:02:04Z |
| format | Article |
| id | doaj.art-36de90773b6045fd9d55905fa38d5d13 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-10T18:02:04Z |
| publishDate | 2016-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-36de90773b6045fd9d55905fa38d5d132022-12-22T01:38:45ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01115e015582010.1371/journal.pone.0155820Using Link Disconnection Entropy Disorder to Detect Fast Moving Nodes in MANETs.Carlos F AlvarezLuis E PalafoxLeocundo AguilarMauricio A SanchezLuis G MartinezMobile ad-hoc networks (MANETs) are dynamic by nature; this dynamism comes from node mobility, traffic congestion, and other transmission conditions. Metrics to evaluate the effects of those conditions shine a light on node's behavior in an ad-hoc network, helping to identify the node or nodes with better conditions of connection. In this paper, we propose a relative index to evaluate a single node reliability, based on the link disconnection entropy disorder using neighboring nodes as reference. Link disconnection entropy disorder is best used to identify fast moving nodes or nodes with unstable communications, this without the need of specialized sensors such as GPS. Several scenarios were studied to verify the index, measuring the effects of Speed and traffic density on the link disconnection entropy disorder. Packet delivery ratio is associated to the metric detecting a strong relationship, enabling the use of the link disconnection entropy disorder to evaluate the stability of a node to communicate with other nodes. To expand the utilization of the link entropy disorder, we identified nodes with higher speeds in network simulations just by using the link entropy disorder.http://europepmc.org/articles/PMC4878810?pdf=render |
| spellingShingle | Carlos F Alvarez Luis E Palafox Leocundo Aguilar Mauricio A Sanchez Luis G Martinez Using Link Disconnection Entropy Disorder to Detect Fast Moving Nodes in MANETs. PLoS ONE |
| title | Using Link Disconnection Entropy Disorder to Detect Fast Moving Nodes in MANETs. |
| title_full | Using Link Disconnection Entropy Disorder to Detect Fast Moving Nodes in MANETs. |
| title_fullStr | Using Link Disconnection Entropy Disorder to Detect Fast Moving Nodes in MANETs. |
| title_full_unstemmed | Using Link Disconnection Entropy Disorder to Detect Fast Moving Nodes in MANETs. |
| title_short | Using Link Disconnection Entropy Disorder to Detect Fast Moving Nodes in MANETs. |
| title_sort | using link disconnection entropy disorder to detect fast moving nodes in manets |
| url | http://europepmc.org/articles/PMC4878810?pdf=render |
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