An alternative clustering scheme in WSN

Izadi, Davood, Abawajy, Jemal and Ghanavati, Sara 2015, An alternative clustering scheme in WSN, IEEE sensors journal, vol. 15, no. 7, pp. 4148-4155, doi: 10.1109/JSEN.2015.2411598.

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Title An alternative clustering scheme in WSN
Author(s) Izadi, Davood
Abawajy, JemalORCID iD for Abawajy, Jemal orcid.org/0000-0001-8962-1222
Ghanavati, Sara
Journal name IEEE sensors journal
Volume number 15
Issue number 7
Start page 4148
End page 4155
Total pages 8
Publisher IEEE
Place of publication Champaign, Ill.
Publication date 2015-07-01
ISSN 1530-437X
Keyword(s) Science & Technology
Technology
Physical Sciences
Engineering, Electrical & Electronic
Instruments & Instrumentation
Physics, Applied
Engineering
Physics
Backup cluster head
predicted and unpredicted cluster head failure
type-2 fuzzy logic
WIRELESS SENSOR NETWORKS
FUZZY-LOGIC SYSTEMS
ALGORITHM
ENERGY
Summary Despite significant advancements in wireless sensor networks (WSNs), energy conservation in the networks remains one of the most important research challenges. One approach commonly used to prolong the network lifetime is through aggregating data at the cluster heads (CHs). However, there is possibility that the CHs may fail and function incorrectly due to a number of reasons such as power instability. During the failure, the CHs are unable to collect and transfer data correctly. This affects the performance of the WSN. Early detection of failure of CHs will reduce the data loss and provide possible minimal recovery efforts. This paper proposes a self-configurable clustering mechanism to detect the disordered CHs and replace them with other nodes. Simulation results verify the effectiveness of the proposed approach.
Language eng
DOI 10.1109/JSEN.2015.2411598
Field of Research 080501 Distributed and Grid Systems
Socio Economic Objective 890103 Mobile Data Networks and Services
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30074178

Document type: Journal Article
Collection: School of Information Technology
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