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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2010-10-01
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Online Access: | http://www.mdpi.com/1424-8220/10/10/9493/ |
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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/ |
work_keys_str_mv |
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