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 inShanghai jiao tong da xue xue bao Vol. 22; no. 1; pp. 60 - 65
Main Author 曾斌 姚路 胡炜
Format Journal Article
LanguageEnglish
Published Shanghai Shanghai Jiaotong University Press 01.02.2017
Springer Nature B.V
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ISSN1007-1172
1995-8188
DOI10.1007/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.
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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10.1109/ICETECT.2011.5760277
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Issue 1
Keywords wireless sensor network (WSN)
A
energy efficient
TP 393
data reporting
cluster header (CH)
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ZENG Bin;YAO Lu;HU Wei;Information Management Center, Department of Management Engineering, Naval University of Engineering
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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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