A Tree-Cluster-Based Data-Gathering Algorithm for Industrial WSNs With a Mobile Sink
Wireless sensor networks (WSNs) have been widely applied in various industrial applications, which involve collecting a massive amount of heterogeneous sensory data. However, most of the data-gathering strategies for WSNs cannot avoid the hotspot problem in local or whole deployment area. Hotspot pr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2015-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/7091856/ |
| _version_ | 1818924181601910784 |
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| author | Chuan Zhu Shuai Wu Guangjie Han Lei Shu Hongyi Wu |
| author_facet | Chuan Zhu Shuai Wu Guangjie Han Lei Shu Hongyi Wu |
| author_sort | Chuan Zhu |
| collection | DOAJ |
| description | Wireless sensor networks (WSNs) have been widely applied in various industrial applications, which involve collecting a massive amount of heterogeneous sensory data. However, most of the data-gathering strategies for WSNs cannot avoid the hotspot problem in local or whole deployment area. Hotspot problem affects the network connectivity and decreases the network lifetime. Hence, we propose a tree-cluster-based data-gathering algorithm (TCBDGA) for WSNs with a mobile sink. A novel weight-based tree-construction method is introduced. The root nodes of the constructed trees are defined as rendezvous points (RPs). Additionally, some special nodes called subrendezvous points (SRPs) are selected according to their traffic load and hops to root nodes. RPs and SRPs are viewed as stop points of the mobile sink for data collection, and can be reselected after a certain period. The simulation and comparison with other algorithms show that our TCBDGA can significantly balance the load of the whole network, reduce the energy consumption, alleviate the hotspot problem, and prolong the network lifetime. |
| first_indexed | 2024-12-20T02:21:15Z |
| format | Article |
| id | doaj.art-ae62b5d4f1d54820a267374efab35540 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T02:21:15Z |
| publishDate | 2015-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-ae62b5d4f1d54820a267374efab355402022-12-21T19:56:48ZengIEEEIEEE Access2169-35362015-01-01338139610.1109/ACCESS.2015.24244527091856A Tree-Cluster-Based Data-Gathering Algorithm for Industrial WSNs With a Mobile SinkChuan Zhu0Shuai Wu1Guangjie Han2https://orcid.org/0000-0002-6921-7369Lei Shu3Hongyi Wu4Department of Information and Communication Systems, Hohai University, Changzhou, ChinaDepartment of Information and Communication Systems, Hohai University, Changzhou, ChinaDepartment of Information and Communication Systems, Hohai University, Changzhou, ChinaGuangdong Petrochemical Equipment Fault Diagnosis Key Laboratory, Guangdong University of Petrochemical Technology, Maoming, China University of Louisiana at Lafayette, Lafayette, LA, USAWireless sensor networks (WSNs) have been widely applied in various industrial applications, which involve collecting a massive amount of heterogeneous sensory data. However, most of the data-gathering strategies for WSNs cannot avoid the hotspot problem in local or whole deployment area. Hotspot problem affects the network connectivity and decreases the network lifetime. Hence, we propose a tree-cluster-based data-gathering algorithm (TCBDGA) for WSNs with a mobile sink. A novel weight-based tree-construction method is introduced. The root nodes of the constructed trees are defined as rendezvous points (RPs). Additionally, some special nodes called subrendezvous points (SRPs) are selected according to their traffic load and hops to root nodes. RPs and SRPs are viewed as stop points of the mobile sink for data collection, and can be reselected after a certain period. The simulation and comparison with other algorithms show that our TCBDGA can significantly balance the load of the whole network, reduce the energy consumption, alleviate the hotspot problem, and prolong the network lifetime.https://ieeexplore.ieee.org/document/7091856/data gathering schemeclustermobile sinkwireless sensor networks |
| spellingShingle | Chuan Zhu Shuai Wu Guangjie Han Lei Shu Hongyi Wu A Tree-Cluster-Based Data-Gathering Algorithm for Industrial WSNs With a Mobile Sink IEEE Access data gathering scheme cluster mobile sink wireless sensor networks |
| title | A Tree-Cluster-Based Data-Gathering Algorithm for Industrial WSNs With a Mobile Sink |
| title_full | A Tree-Cluster-Based Data-Gathering Algorithm for Industrial WSNs With a Mobile Sink |
| title_fullStr | A Tree-Cluster-Based Data-Gathering Algorithm for Industrial WSNs With a Mobile Sink |
| title_full_unstemmed | A Tree-Cluster-Based Data-Gathering Algorithm for Industrial WSNs With a Mobile Sink |
| title_short | A Tree-Cluster-Based Data-Gathering Algorithm for Industrial WSNs With a Mobile Sink |
| title_sort | tree cluster based data gathering algorithm for industrial wsns with a mobile sink |
| topic | data gathering scheme cluster mobile sink wireless sensor networks |
| url | https://ieeexplore.ieee.org/document/7091856/ |
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