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Adjustable Trajectory Design Based on Node Density for Mobile Sink in WSNs
The design of movement trajectories for mobile sink plays an important role in data gathering for Wireless Sensor Networks (WSNs), as it affects the network coverage, and packet delivery ratio, as well as the network lifetime. In some scenarios, the whole network can be divided into subareas where t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5191071/ https://www.ncbi.nlm.nih.gov/pubmed/27941662 http://dx.doi.org/10.3390/s16122091 |
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author | Yang, Guisong Liu, Shuai He, Xingyu Xiong, Naixue Wu, Chunxue |
author_facet | Yang, Guisong Liu, Shuai He, Xingyu Xiong, Naixue Wu, Chunxue |
author_sort | Yang, Guisong |
collection | PubMed |
description | The design of movement trajectories for mobile sink plays an important role in data gathering for Wireless Sensor Networks (WSNs), as it affects the network coverage, and packet delivery ratio, as well as the network lifetime. In some scenarios, the whole network can be divided into subareas where the nodes are randomly deployed. The node densities of these subareas are quite different, which may result in a decreased packet delivery ratio and network lifetime if the movement trajectory of the mobile sink cannot adapt to these differences. To address these problems, we propose an adjustable trajectory design method based on node density for mobile sink in WSNs. The movement trajectory of the mobile sink in each subarea follows the Hilbert space-filling curve. Firstly, the trajectory is constructed based on network size. Secondly, the adjustable trajectory is established based on node density in specific subareas. Finally, the trajectories in each subarea are combined to acquire the whole network’s movement trajectory for the mobile sink. In addition, an adaptable power control scheme is designed to adjust nodes’ transmitting range dynamically according to the movement trajectory of the mobile sink in each subarea. The simulation results demonstrate that the proposed trajectories can adapt to network changes flexibly, thus outperform both in packet delivery ratio and in energy consumption the trajectories designed only based on the network size and the whole network node density. |
format | Online Article Text |
id | pubmed-5191071 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-51910712017-01-03 Adjustable Trajectory Design Based on Node Density for Mobile Sink in WSNs Yang, Guisong Liu, Shuai He, Xingyu Xiong, Naixue Wu, Chunxue Sensors (Basel) Article The design of movement trajectories for mobile sink plays an important role in data gathering for Wireless Sensor Networks (WSNs), as it affects the network coverage, and packet delivery ratio, as well as the network lifetime. In some scenarios, the whole network can be divided into subareas where the nodes are randomly deployed. The node densities of these subareas are quite different, which may result in a decreased packet delivery ratio and network lifetime if the movement trajectory of the mobile sink cannot adapt to these differences. To address these problems, we propose an adjustable trajectory design method based on node density for mobile sink in WSNs. The movement trajectory of the mobile sink in each subarea follows the Hilbert space-filling curve. Firstly, the trajectory is constructed based on network size. Secondly, the adjustable trajectory is established based on node density in specific subareas. Finally, the trajectories in each subarea are combined to acquire the whole network’s movement trajectory for the mobile sink. In addition, an adaptable power control scheme is designed to adjust nodes’ transmitting range dynamically according to the movement trajectory of the mobile sink in each subarea. The simulation results demonstrate that the proposed trajectories can adapt to network changes flexibly, thus outperform both in packet delivery ratio and in energy consumption the trajectories designed only based on the network size and the whole network node density. MDPI 2016-12-09 /pmc/articles/PMC5191071/ /pubmed/27941662 http://dx.doi.org/10.3390/s16122091 Text en © 2016 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 | Article Yang, Guisong Liu, Shuai He, Xingyu Xiong, Naixue Wu, Chunxue Adjustable Trajectory Design Based on Node Density for Mobile Sink in WSNs |
title | Adjustable Trajectory Design Based on Node Density for Mobile Sink in WSNs |
title_full | Adjustable Trajectory Design Based on Node Density for Mobile Sink in WSNs |
title_fullStr | Adjustable Trajectory Design Based on Node Density for Mobile Sink in WSNs |
title_full_unstemmed | Adjustable Trajectory Design Based on Node Density for Mobile Sink in WSNs |
title_short | Adjustable Trajectory Design Based on Node Density for Mobile Sink in WSNs |
title_sort | adjustable trajectory design based on node density for mobile sink in wsns |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5191071/ https://www.ncbi.nlm.nih.gov/pubmed/27941662 http://dx.doi.org/10.3390/s16122091 |
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