Data Gathering in Opportunistic Wireless Sensor Networks
The wireless sensor networks and opportunistic networks have nowadays presented a trend of technology convergence. On one hand, the nodes periodically sense the environment and continuously generate sensing data; on the other hand, the movements and sparse deployment of nodes usually lead to intermi...
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| Published in: | International journal of distributed sensor networks Vol. 2012; no. 2012; pp. 1 - 13 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Cairo, Egypt
Hindawi Puplishing Corporation
01.01.2012
SAGE Publications John Wiley & Sons, Inc Wiley |
| Subjects: | |
| ISSN: | 1550-1329, 1550-1477, 1550-1477 |
| Online Access: | Get full text |
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| Abstract | The wireless sensor networks and opportunistic networks have nowadays presented a trend of technology convergence. On one hand, the nodes periodically sense the environment and continuously generate sensing data; on the other hand, the movements and sparse deployment of nodes usually lead to intermitted connected links and create some form of opportunistic communications. So it is a challenging problem to effectively collect the sensing data in opportunistic wireless sensor networks. In this paper, we propose an efficient data gathering algorithm based on location prediction in opportunistic wireless sensor networks. The algorithm first collects the network metadata such as history of node encounters and contact durations; then it creates a node contact graph, based on which predictive optimal data gathering locations are dynamically calculated and updated. Finally, the sink is controlled to move to these locations to collect sensing data, avoiding lots of unnecessary data exchanges and message transmissions. Extensive experimental results show that the proposed algorithm is effective to reduce the message transmissions and improve the data collection coverage rate. |
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| AbstractList | The wireless sensor networks and opportunistic networks have nowadays presented a trend of technology convergence. On one hand, the nodes periodically sense the environment and continuously generate sensing data; on the other hand, the movements and sparse deployment of nodes usually lead to intermitted connected links and create some form of opportunistic communications. So it is a challenging problem to effectively collect the sensing data in opportunistic wireless sensor networks. In this paper, we propose an efficient data gathering algorithm based on location prediction in opportunistic wireless sensor networks. The algorithm first collects the network metadata such as history of node encounters and contact durations; then it creates a node contact graph, based on which predictive optimal data gathering locations are dynamically calculated and updated. Finally, the sink is controlled to move to these locations to collect sensing data, avoiding lots of unnecessary data exchanges and message transmissions. Extensive experimental results show that the proposed algorithm is effective to reduce the message transmissions and improve the data collection coverage rate. |
| Author | Lai, Yongxuan Lin, Ziyu |
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| Cites_doi | 10.1145/635508.605408 10.1145/1374618.1374652 10.4236/wsn.2012.41001 10.3724/SP.J.1001.2010.03774 10.1016/S1570-8705(03)00003-9 10.3724/SP.J.1001.2009.00124 10.1007/978-3-540-27767-5_24 10.1109/JSEN.2011.2170562 10.1109/JSAC.2008.080603 10.1109/ICCCN.2007.4318000 10.1109/TPDS.2012.83 10.1109/TMC.2011.249 10.1109/INFCOM.2010.5462075 10.1145/1247694.1247707 |
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| Contributor | Lin, Ziyu |
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| Copyright | 2012 Y. Lai and Z. Lin. Copyright © 2012 Yongxuan Lai and Ziyu Lin. Yongxuan Lai et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Copyright_xml | – notice: 2012 Y. Lai and Z. Lin. – notice: Copyright © 2012 Yongxuan Lai and Ziyu Lin. Yongxuan Lai et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
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| SubjectTerms | Acquisition of databases Ad hoc networks (Computer networks) Algorithms Cellular telephones Communication Contact Data transmission systems Detection Electric network topology Encounters Fault-tolerant computing Interference Messages Metadata Networks Radio Remote sensors Wireless networks Wireless sensor networks التزويد الشبكات اللاسلكية المخصصة الموثوقية تحمل الأعطال قواعد البيانات معالجة البيانات |
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| Title | Data Gathering in Opportunistic Wireless Sensor Networks |
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