Cargando…
Sigma Routing Metric for RPL Protocol
This paper presents the adaptation of a specific metric for the RPL protocol in the objective function MRHOF. Among the functions standardized by IETF, we find OF0, which is based on the minimum hop count, as well as MRHOF, which is based on the Expected Transmission Count (ETX). However, when the n...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948651/ https://www.ncbi.nlm.nih.gov/pubmed/29690524 http://dx.doi.org/10.3390/s18041277 |
_version_ | 1783322598313033728 |
---|---|
author | Sanmartin, Paul Rojas, Aldo Fernandez, Luis Avila, Karen Jabba, Daladier Valle, Sebastian |
author_facet | Sanmartin, Paul Rojas, Aldo Fernandez, Luis Avila, Karen Jabba, Daladier Valle, Sebastian |
author_sort | Sanmartin, Paul |
collection | PubMed |
description | This paper presents the adaptation of a specific metric for the RPL protocol in the objective function MRHOF. Among the functions standardized by IETF, we find OF0, which is based on the minimum hop count, as well as MRHOF, which is based on the Expected Transmission Count (ETX). However, when the network becomes denser or the number of nodes increases, both OF0 and MRHOF introduce long hops, which can generate a bottleneck that restricts the network. The adaptation is proposed to optimize both OFs through a new routing metric. To solve the above problem, the metrics of the minimum number of hops and the ETX are combined by designing a new routing metric called SIGMA-ETX, in which the best route is calculated using the standard deviation of ETX values between each node, as opposed to working with the ETX average along the route. This method ensures a better routing performance in dense sensor networks. The simulations are done through the Cooja simulator, based on the Contiki operating system. The simulations showed that the proposed optimization outperforms at a high margin in both OF0 and MRHOF, in terms of network latency, packet delivery ratio, lifetime, and power consumption. |
format | Online Article Text |
id | pubmed-5948651 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-59486512018-05-17 Sigma Routing Metric for RPL Protocol Sanmartin, Paul Rojas, Aldo Fernandez, Luis Avila, Karen Jabba, Daladier Valle, Sebastian Sensors (Basel) Article This paper presents the adaptation of a specific metric for the RPL protocol in the objective function MRHOF. Among the functions standardized by IETF, we find OF0, which is based on the minimum hop count, as well as MRHOF, which is based on the Expected Transmission Count (ETX). However, when the network becomes denser or the number of nodes increases, both OF0 and MRHOF introduce long hops, which can generate a bottleneck that restricts the network. The adaptation is proposed to optimize both OFs through a new routing metric. To solve the above problem, the metrics of the minimum number of hops and the ETX are combined by designing a new routing metric called SIGMA-ETX, in which the best route is calculated using the standard deviation of ETX values between each node, as opposed to working with the ETX average along the route. This method ensures a better routing performance in dense sensor networks. The simulations are done through the Cooja simulator, based on the Contiki operating system. The simulations showed that the proposed optimization outperforms at a high margin in both OF0 and MRHOF, in terms of network latency, packet delivery ratio, lifetime, and power consumption. MDPI 2018-04-21 /pmc/articles/PMC5948651/ /pubmed/29690524 http://dx.doi.org/10.3390/s18041277 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sanmartin, Paul Rojas, Aldo Fernandez, Luis Avila, Karen Jabba, Daladier Valle, Sebastian Sigma Routing Metric for RPL Protocol |
title | Sigma Routing Metric for RPL Protocol |
title_full | Sigma Routing Metric for RPL Protocol |
title_fullStr | Sigma Routing Metric for RPL Protocol |
title_full_unstemmed | Sigma Routing Metric for RPL Protocol |
title_short | Sigma Routing Metric for RPL Protocol |
title_sort | sigma routing metric for rpl protocol |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948651/ https://www.ncbi.nlm.nih.gov/pubmed/29690524 http://dx.doi.org/10.3390/s18041277 |
work_keys_str_mv | AT sanmartinpaul sigmaroutingmetricforrplprotocol AT rojasaldo sigmaroutingmetricforrplprotocol AT fernandezluis sigmaroutingmetricforrplprotocol AT avilakaren sigmaroutingmetricforrplprotocol AT jabbadaladier sigmaroutingmetricforrplprotocol AT vallesebastian sigmaroutingmetricforrplprotocol |