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Cluster-based Data Gathering in Long-Strip Wireless Sensor NetworksFANG, W. , LI, S. , LIANG, X. , LI, Z.
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wireless sensor networks, energy efficiency, clustering algorithms, channel allocation, relay
sensor(20), networks(17), systems(4), protocol(4), network(4), energy(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2012-02-28
Volume 12, Issue 1, Year 2012, On page(s): 3 - 8
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.01001
Web of Science Accession Number: 000301075000001
SCOPUS ID: 84860754985
This paper investigates a special class of wireless sensor networks that are different from traditional ones in that the sensor nodes in this class of networks are deployed along narrowly elongated geographical areas and form a long-strip topology. According to hardware capabilities of current sensor nodes, a cluster-based protocol for reliable and efficient data gathering in long-strip wireless sensor networks (LSWSN) is proposed. A well-distributed cluster-based architecture is first formed in the whole network through contention-based cluster head election. Cluster heads are responsible for coordination among the nodes within their clusters and aggregation of their sensory data, as well as transmission the data to the sink node on behalf of their own clusters. The intra-cluster coordination is based on the traditional TDMA schedule, in which the inter-cluster interference caused by the border nodes is solved by the multi-channel communication technique. The cluster reporting is based on the CSMA contention, in which a connected overlay network is formed by relay nodes to forward the data from the cluster heads through multi-hops to the sink node. The relay nodes are non-uniformly deployed to resolve the energy-hole problem which is extremely serious in the LSWSN. Extensive simulation results illuminate the distinguished performance of the proposed protocol.
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 MAC Protocol for Data Gathering in Wireless Sensor Networks with the Aid of Unmanned Aerial Vehicles, VLADUTA, A.-V., PURA, M. L., BICA, I., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 16, 2016.
Digital Object Identifier: 10.4316/AECE.2016.02007 [CrossRef] [Full text]
 HIGH: A Hexagon-based Intelligent Grouping Approach in Wireless Sensor Networks, FAN, C.-S., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 16, 2016.
Digital Object Identifier: 10.4316/AECE.2016.01006 [CrossRef] [Full text]
 Rich: Region-based Intelligent Cluster-Head Selection and Node Deployment Strategy in Concentric-based WSNs, FAN, C.-S., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.04001 [CrossRef] [Full text]
 An efficient intelligent clustering scheme in dynamic networks, Amirshahi, Bita, Amirshahi, Seyed Amin, 2015 International Congress on Technology, Communication and Knowledge (ICTCK), ISBN 978-1-4673-9762-9, 2015.
Digital Object Identifier: 10.1109/ICTCK.2015.7582701 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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