Improved energy-balanced algorithm for underwater wireless sensor network based on depth threshold and energy level partition
Abstract Considering the insufficient global energy consumption optimization of the existing routing algorithms for Underwater Wireless Sensor Network (UWSN), a new algorithm, named improved energy-balanced routing (IEBR), is designed in this paper for UWSN. The algorithm includes two stages: routin...
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doaj-c8823746681749e2bd254f447fbb540a2020-11-25T02:50:27ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992019-09-012019111510.1186/s13638-019-1533-yImproved energy-balanced algorithm for underwater wireless sensor network based on depth threshold and energy level partitionPan Feng0Danyang Qin1Ping Ji2Min Zhao3Ruolin Guo4Teklu Merhawit Berhane5Heilongjiang UniversityHeilongjiang UniversityHeilongjiang UniversityHeilongjiang UniversityHeilongjiang UniversityDire-dawa Institute of TechnologyAbstract Considering the insufficient global energy consumption optimization of the existing routing algorithms for Underwater Wireless Sensor Network (UWSN), a new algorithm, named improved energy-balanced routing (IEBR), is designed in this paper for UWSN. The algorithm includes two stages: routing establishment and data transmission. During the first stage, a mathematical model is constructed for transmission distance to find the neighbors at the optimal distances and the underwater network links are established. In addition, IEBR will select relays based on the depth of the neighbors, minimize the hops in a link based on the depth threshold, and solve the problem of data transmission loop. During the second stage, the links built in the first stage are dynamically changed based on the energy level (EL) differences between the neighboring nodes in the links, so as to achieve energy balance of the entire network and extend the network lifetime significantly. Simulation results show that compared with other typical energy-balanced routing algorithms, IEBR presents superior performance in network lifetime, transmission loss, and data throughput.http://link.springer.com/article/10.1186/s13638-019-1533-yUWSNEnergy-balanced routingNetwork lifetimeDepth thresholdEL partition |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Pan Feng Danyang Qin Ping Ji Min Zhao Ruolin Guo Teklu Merhawit Berhane |
spellingShingle |
Pan Feng Danyang Qin Ping Ji Min Zhao Ruolin Guo Teklu Merhawit Berhane Improved energy-balanced algorithm for underwater wireless sensor network based on depth threshold and energy level partition EURASIP Journal on Wireless Communications and Networking UWSN Energy-balanced routing Network lifetime Depth threshold EL partition |
author_facet |
Pan Feng Danyang Qin Ping Ji Min Zhao Ruolin Guo Teklu Merhawit Berhane |
author_sort |
Pan Feng |
title |
Improved energy-balanced algorithm for underwater wireless sensor network based on depth threshold and energy level partition |
title_short |
Improved energy-balanced algorithm for underwater wireless sensor network based on depth threshold and energy level partition |
title_full |
Improved energy-balanced algorithm for underwater wireless sensor network based on depth threshold and energy level partition |
title_fullStr |
Improved energy-balanced algorithm for underwater wireless sensor network based on depth threshold and energy level partition |
title_full_unstemmed |
Improved energy-balanced algorithm for underwater wireless sensor network based on depth threshold and energy level partition |
title_sort |
improved energy-balanced algorithm for underwater wireless sensor network based on depth threshold and energy level partition |
publisher |
SpringerOpen |
series |
EURASIP Journal on Wireless Communications and Networking |
issn |
1687-1499 |
publishDate |
2019-09-01 |
description |
Abstract Considering the insufficient global energy consumption optimization of the existing routing algorithms for Underwater Wireless Sensor Network (UWSN), a new algorithm, named improved energy-balanced routing (IEBR), is designed in this paper for UWSN. The algorithm includes two stages: routing establishment and data transmission. During the first stage, a mathematical model is constructed for transmission distance to find the neighbors at the optimal distances and the underwater network links are established. In addition, IEBR will select relays based on the depth of the neighbors, minimize the hops in a link based on the depth threshold, and solve the problem of data transmission loop. During the second stage, the links built in the first stage are dynamically changed based on the energy level (EL) differences between the neighboring nodes in the links, so as to achieve energy balance of the entire network and extend the network lifetime significantly. Simulation results show that compared with other typical energy-balanced routing algorithms, IEBR presents superior performance in network lifetime, transmission loss, and data throughput. |
topic |
UWSN Energy-balanced routing Network lifetime Depth threshold EL partition |
url |
http://link.springer.com/article/10.1186/s13638-019-1533-y |
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