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- Title
A hybrid clustering routing protocol based on machine learning and graph theory for energy conservation and hole detection in wireless sensor network.
- Authors
Masoud, Mohammad Z.; Jaradat, Yousef; Jannoud, Ismael; Al Sibahee, Mustafa A.
- Abstract
In this work, a new hybrid clustering routing protocol is proposed to prolong network life time through detecting holes and edges nodes. The detection process attempts to generate a connected graph without any isolated nodes or clusters that have no connection with the sink node. To this end, soft clustering/estimation maximization with graph metrics, PageRank, node degree, and local cluster coefficient, has been utilized. Holes and edges detection process is performed by the sink node to reduce energy consumption of wireless sensor network nodes. The clustering process is dynamic among sensor nodes. Hybrid clustering routing protocol–hole detection converts the network into a number of rings to overcome transmission distances. We compared hybrid clustering routing protocol–hole detection with four different protocols. The accuracy of detection reached 98%. Moreover, network life time has prolonged 10%. Finally, hybrid clustering routing protocol–hole detection has eliminated the disconnectivity in the network for more than 80% of network life time.
- Subjects
WIRELESS sensor networks; GRAPH theory; ENERGY conservation; ROUTING algorithms; WIRELESS sensor nodes; GRAPH connectivity; MACHINE learning
- Publication
International Journal of Distributed Sensor Networks, 2019, Vol 15, Issue 6, p1
- ISSN
1550-1329
- Publication type
Article
- DOI
10.1177/1550147719858231