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Energy and Delay Aware Data Aggregation in Routing Protocol for Internet of Things

Energy conservation is one of the most critical problems in Internet of Things (IoT). It can be achieved in several ways, one of which is to select the optimal route for data transfer. IPv6 Routing Protocol for Low Power and Lossy Networks (RPL) is a standardized routing protocol for IoT. The RPL ch...

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Autores principales: Sennan, Sankar, Balasubramaniyam, Sathiyabhama, Luhach, Ashish Kr., Ramasubbareddy, Somula, Chilamkurti, Naveen, Nam, Yunyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6961041/
https://www.ncbi.nlm.nih.gov/pubmed/31842437
http://dx.doi.org/10.3390/s19245486
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author Sennan, Sankar
Balasubramaniyam, Sathiyabhama
Luhach, Ashish Kr.
Ramasubbareddy, Somula
Chilamkurti, Naveen
Nam, Yunyoung
author_facet Sennan, Sankar
Balasubramaniyam, Sathiyabhama
Luhach, Ashish Kr.
Ramasubbareddy, Somula
Chilamkurti, Naveen
Nam, Yunyoung
author_sort Sennan, Sankar
collection PubMed
description Energy conservation is one of the most critical problems in Internet of Things (IoT). It can be achieved in several ways, one of which is to select the optimal route for data transfer. IPv6 Routing Protocol for Low Power and Lossy Networks (RPL) is a standardized routing protocol for IoT. The RPL changes its path frequently while transmitting the data from source to the destination, due to high data traffic in dense networks. Hence, it creates data traffic across the nodes in the networks. To solve this issue, we propose Energy and Delay Aware Data aggregation in Routing Protocol (EDADA-RPL) for IoT. It has two processes, namely parent selection and data aggregation. The process of parent selection uses routing metric residual energy (RER) to choose the best possible parent for data transmission. The data aggregation process uses the compressed sensing (CS) theory in the parent node to combine data packets from the child nodes. Finally, the aggregated data transmits from a downward parent to the sink. The sink node collects all the aggregated data and it performs the reconstruction operation to get the original data of the participant node. The simulation is carried out using the Contiki COOJA simulator. EDADA-RPL’s performance is compared to RPL and LA-RPL. The EDADA-RPL offers good performance in terms of network lifetime, delay, and packet delivery ratio.
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spelling pubmed-69610412020-01-24 Energy and Delay Aware Data Aggregation in Routing Protocol for Internet of Things Sennan, Sankar Balasubramaniyam, Sathiyabhama Luhach, Ashish Kr. Ramasubbareddy, Somula Chilamkurti, Naveen Nam, Yunyoung Sensors (Basel) Concept Paper Energy conservation is one of the most critical problems in Internet of Things (IoT). It can be achieved in several ways, one of which is to select the optimal route for data transfer. IPv6 Routing Protocol for Low Power and Lossy Networks (RPL) is a standardized routing protocol for IoT. The RPL changes its path frequently while transmitting the data from source to the destination, due to high data traffic in dense networks. Hence, it creates data traffic across the nodes in the networks. To solve this issue, we propose Energy and Delay Aware Data aggregation in Routing Protocol (EDADA-RPL) for IoT. It has two processes, namely parent selection and data aggregation. The process of parent selection uses routing metric residual energy (RER) to choose the best possible parent for data transmission. The data aggregation process uses the compressed sensing (CS) theory in the parent node to combine data packets from the child nodes. Finally, the aggregated data transmits from a downward parent to the sink. The sink node collects all the aggregated data and it performs the reconstruction operation to get the original data of the participant node. The simulation is carried out using the Contiki COOJA simulator. EDADA-RPL’s performance is compared to RPL and LA-RPL. The EDADA-RPL offers good performance in terms of network lifetime, delay, and packet delivery ratio. MDPI 2019-12-12 /pmc/articles/PMC6961041/ /pubmed/31842437 http://dx.doi.org/10.3390/s19245486 Text en © 2019 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 Concept Paper
Sennan, Sankar
Balasubramaniyam, Sathiyabhama
Luhach, Ashish Kr.
Ramasubbareddy, Somula
Chilamkurti, Naveen
Nam, Yunyoung
Energy and Delay Aware Data Aggregation in Routing Protocol for Internet of Things
title Energy and Delay Aware Data Aggregation in Routing Protocol for Internet of Things
title_full Energy and Delay Aware Data Aggregation in Routing Protocol for Internet of Things
title_fullStr Energy and Delay Aware Data Aggregation in Routing Protocol for Internet of Things
title_full_unstemmed Energy and Delay Aware Data Aggregation in Routing Protocol for Internet of Things
title_short Energy and Delay Aware Data Aggregation in Routing Protocol for Internet of Things
title_sort energy and delay aware data aggregation in routing protocol for internet of things
topic Concept Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6961041/
https://www.ncbi.nlm.nih.gov/pubmed/31842437
http://dx.doi.org/10.3390/s19245486
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