A Distance-Based Energy Aware Routing Algorithm for Wireless Sensor Networks

Energy efficiency and balancing is one of the primary challenges for wireless sensor networks (WSNs) since the tiny sensor nodes cannot be easily recharged once they are deployed. Up to now, many energy efficient routing algorithms or protocols have been proposed with techniques like clustering, dat...

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Main Authors: Sungyoung Lee, Jin Wang, Jeong-Uk Kim, Lei Shu, Yu Niu
Format: Article
Language:English
Published: MDPI AG 2010-10-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/10/10/9493/
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spelling doaj-25647842782c4b988b793b64b811ae3d2020-11-24T21:09:55ZengMDPI AGSensors1424-82202010-10-0110109493951110.3390/s101009493A Distance-Based Energy Aware Routing Algorithm for Wireless Sensor NetworksSungyoung LeeJin WangJeong-Uk KimLei ShuYu NiuEnergy efficiency and balancing is one of the primary challenges for wireless sensor networks (WSNs) since the tiny sensor nodes cannot be easily recharged once they are deployed. Up to now, many energy efficient routing algorithms or protocols have been proposed with techniques like clustering, data aggregation and location tracking etc. However, many of them aim to minimize parameters like total energy consumption, latency etc., which cause hotspot nodes and partitioned network due to the overuse of certain nodes. In this paper, a Distance-based Energy Aware Routing (DEAR) algorithm is proposed to ensure energy efficiency and energy balancing based on theoretical analysis of different energy and traffic models. During the routing process, we consider individual distance as the primary parameter in order to adjust and equalize the energy consumption among involved sensors. The residual energy is also considered as a secondary factor. In this way, all the intermediate nodes will consume their energy at similar rate, which maximizes network lifetime. Simulation results show that the DEAR algorithm can reduce and balance the energy consumption for all sensor nodes so network lifetime is greatly prolonged compared to other routing algorithms. http://www.mdpi.com/1424-8220/10/10/9493/wireless sensor networksroutinghotspothop numberenergy efficiencynetwork lifetime
collection DOAJ
language English
format Article
sources DOAJ
author Sungyoung Lee
Jin Wang
Jeong-Uk Kim
Lei Shu
Yu Niu
spellingShingle Sungyoung Lee
Jin Wang
Jeong-Uk Kim
Lei Shu
Yu Niu
A Distance-Based Energy Aware Routing Algorithm for Wireless Sensor Networks
Sensors
wireless sensor networks
routing
hotspot
hop number
energy efficiency
network lifetime
author_facet Sungyoung Lee
Jin Wang
Jeong-Uk Kim
Lei Shu
Yu Niu
author_sort Sungyoung Lee
title A Distance-Based Energy Aware Routing Algorithm for Wireless Sensor Networks
title_short A Distance-Based Energy Aware Routing Algorithm for Wireless Sensor Networks
title_full A Distance-Based Energy Aware Routing Algorithm for Wireless Sensor Networks
title_fullStr A Distance-Based Energy Aware Routing Algorithm for Wireless Sensor Networks
title_full_unstemmed A Distance-Based Energy Aware Routing Algorithm for Wireless Sensor Networks
title_sort distance-based energy aware routing algorithm for wireless sensor networks
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2010-10-01
description Energy efficiency and balancing is one of the primary challenges for wireless sensor networks (WSNs) since the tiny sensor nodes cannot be easily recharged once they are deployed. Up to now, many energy efficient routing algorithms or protocols have been proposed with techniques like clustering, data aggregation and location tracking etc. However, many of them aim to minimize parameters like total energy consumption, latency etc., which cause hotspot nodes and partitioned network due to the overuse of certain nodes. In this paper, a Distance-based Energy Aware Routing (DEAR) algorithm is proposed to ensure energy efficiency and energy balancing based on theoretical analysis of different energy and traffic models. During the routing process, we consider individual distance as the primary parameter in order to adjust and equalize the energy consumption among involved sensors. The residual energy is also considered as a secondary factor. In this way, all the intermediate nodes will consume their energy at similar rate, which maximizes network lifetime. Simulation results show that the DEAR algorithm can reduce and balance the energy consumption for all sensor nodes so network lifetime is greatly prolonged compared to other routing algorithms.
topic wireless sensor networks
routing
hotspot
hop number
energy efficiency
network lifetime
url http://www.mdpi.com/1424-8220/10/10/9493/
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