Priority Based Data Reporting Algorithm in Wireless Sensor Networks
A cluster-based organization with two phases to separate priority calculation and network activity operations is developed. In the election-state phase, clusters are organized by those nodes with sufficient residual energy level(REL) that are distributed as evenly as possible in the network. For eac...
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| Published in | Shanghai jiao tong da xue xue bao Vol. 22; no. 1; pp. 60 - 65 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Shanghai
Shanghai Jiaotong University Press
01.02.2017
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1007-1172 1995-8188 |
| DOI | 10.1007/s12204-017-1800-1 |
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| Abstract | A cluster-based organization with two phases to separate priority calculation and network activity operations is developed. In the election-state phase, clusters are organized by those nodes with sufficient residual energy level(REL) that are distributed as evenly as possible in the network. For each network round, each node decides its role(such as, cluster header(CH) or a normal node) and its priority level for activity operation. The priority level also affects the active/sleep scheduling in the node. In the steady-state phase, the positive priority levels of active nodes determine their activity order to avoid transmission collision, and to reduce redundant data transmission and sensing coverage. Since the data reporting to the sink is usually performed by a CH delivery chain, subsidiary CHs are selected to assist with data delivery and to share the loading of CHs. The formulae for computing priority levels are analyzed and verified by the examples with valid parameters. The experimental results show that the two phases efficiently consume node energy and achieve energy savings. |
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| AbstractList | A cluster-based organization with two phases to separate priority calculation and network activity operations is developed. In the election-state phase, clusters are organized by those nodes with sufficient residual energy level (REL) that are distributed as evenly as possible in the network. For each network round, each node decides its role (such as, cluster header (CH) or a normal node) and its priority level for activity operation. The priority level also affects the active/sleep scheduling in the node. In the steady-state phase, the positive priority levels of active nodes determine their activity order to avoid transmission collision, and to reduce redundant data transmission and sensing coverage. Since the data reporting to the sink is usually performed by a CH delivery chain, subsidiary CHs are selected to assist with data delivery and to share the loading of CHs. The formulae for computing priority levels are analyzed and verified by the examples with valid parameters. The experimental results show that the two phases efficiently consume node energy and achieve energy savings. |
| Author | 曾斌 姚路 胡炜 |
| AuthorAffiliation | Information Management Center, Department of Management Engineering, Naval University of Engineering |
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| Copyright | Shanghai Jiaotong University and Springer-Verlag Berlin Heidelberg 2017 Copyright Springer Science & Business Media 2017 |
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| Keywords | wireless sensor network (WSN) A energy efficient TP 393 data reporting cluster header (CH) |
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| References | Incel, Hoesel, Jansen (CR9) 2011; 9 Zhang, Li, Fu (CR5) 2015 Liu, Cao, Chen (CR7) 2009; 9 Katiyar, Chand, Gautam (CR4) 2011 Huang, Hsieh, Wang (CR8) 2007; 30 Tyagi, Kumar (CR3) 2013; 36 Sumathi, Srinivas (CR1) 2012; 8 Benaouda, Mostefai (CR6) 2015; 3 Aslam, Javaid, Rahim (CR2) 2012; 1 N Benaouda (1800_CR6) 2015; 3 M Aslam (1800_CR2) 2012; 1 R Sumathi (1800_CR1) 2012; 8 M Liu (1800_CR7) 2009; 9 Y M Huang (1800_CR8) 2007; 30 V Katiyar (1800_CR4) 2011 O D V Incel (1800_CR9) 2011; 9 S Tyagi (1800_CR3) 2013; 36 X L Zhang (1800_CR5) 2015 |
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| SubjectTerms | Architecture Clusters Collision avoidance Computer Science Data transmission Delivery scheduling Electrical Engineering Energy Energy conservation Energy consumption Engineering Life Sciences Materials Science Networks Nodes Priorities Remote sensors Reporting Residual energy Sleep Two phase Wireless sensor networks |
| Title | Priority Based Data Reporting Algorithm in Wireless Sensor Networks |
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