Energy-Efficient Probabilistic Routing Algorithm for Internet of Things

In the future network with Internet of Things (IoT), each of the things communicates with the others and acquires information by itself. In distributed networks for IoT, the energy efficiency of the nodes is a key factor in the network performance. In this paper, we propose energy-efficient probabil...

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Main Authors: Sang-Hyun Park, Seungryong Cho, Jung-Ryun Lee
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/213106
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author Sang-Hyun Park
Seungryong Cho
Jung-Ryun Lee
author_facet Sang-Hyun Park
Seungryong Cho
Jung-Ryun Lee
author_sort Sang-Hyun Park
collection DOAJ
description In the future network with Internet of Things (IoT), each of the things communicates with the others and acquires information by itself. In distributed networks for IoT, the energy efficiency of the nodes is a key factor in the network performance. In this paper, we propose energy-efficient probabilistic routing (EEPR) algorithm, which controls the transmission of the routing request packets stochastically in order to increase the network lifetime and decrease the packet loss under the flooding algorithm. The proposed EEPR algorithm adopts energy-efficient probabilistic control by simultaneously using the residual energy of each node and ETX metric in the context of the typical AODV protocol. In the simulations, we verify that the proposed algorithm has longer network lifetime and consumes the residual energy of each node more evenly when compared with the typical AODV protocol.
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spelling doaj-art-8f6cc2f03d6f43fab104cf6fbaaa19382025-08-20T03:20:31ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/213106213106Energy-Efficient Probabilistic Routing Algorithm for Internet of ThingsSang-Hyun Park0Seungryong Cho1Jung-Ryun Lee2School of the Electrical Engineering, Chung-Ang University, Seoul 156-756, Republic of KoreaDepartment of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Republic of KoreaSchool of the Electrical Engineering, Chung-Ang University, Seoul 156-756, Republic of KoreaIn the future network with Internet of Things (IoT), each of the things communicates with the others and acquires information by itself. In distributed networks for IoT, the energy efficiency of the nodes is a key factor in the network performance. In this paper, we propose energy-efficient probabilistic routing (EEPR) algorithm, which controls the transmission of the routing request packets stochastically in order to increase the network lifetime and decrease the packet loss under the flooding algorithm. The proposed EEPR algorithm adopts energy-efficient probabilistic control by simultaneously using the residual energy of each node and ETX metric in the context of the typical AODV protocol. In the simulations, we verify that the proposed algorithm has longer network lifetime and consumes the residual energy of each node more evenly when compared with the typical AODV protocol.http://dx.doi.org/10.1155/2014/213106
spellingShingle Sang-Hyun Park
Seungryong Cho
Jung-Ryun Lee
Energy-Efficient Probabilistic Routing Algorithm for Internet of Things
Journal of Applied Mathematics
title Energy-Efficient Probabilistic Routing Algorithm for Internet of Things
title_full Energy-Efficient Probabilistic Routing Algorithm for Internet of Things
title_fullStr Energy-Efficient Probabilistic Routing Algorithm for Internet of Things
title_full_unstemmed Energy-Efficient Probabilistic Routing Algorithm for Internet of Things
title_short Energy-Efficient Probabilistic Routing Algorithm for Internet of Things
title_sort energy efficient probabilistic routing algorithm for internet of things
url http://dx.doi.org/10.1155/2014/213106
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AT seungryongcho energyefficientprobabilisticroutingalgorithmforinternetofthings
AT jungryunlee energyefficientprobabilisticroutingalgorithmforinternetofthings