Information Collection of Motion Based on Wireless Sensor Network

Chen, Xiuping; Liu, Caihong; Ji, Jinshui; Pucuo, Cairen; Zhang, Wei

doi:10.1109/icsai.2018.8599481

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…In the past few years, wireless sensor networks (WSNs) applications have been embedded in different areas, such as, medical, military, and geographic. WSN have been utilized in object detection, object motions recognition, 1 harvesting weather and nature data and monitoring, 2 and surveillance applications. 3 Due to the random distribution of nodes and the nature of the terrain in which nodes are deployed, some problems may occur.…”

Section: Introductionmentioning

confidence: 99%

A hybrid clustering routing protocol based on machine learning and graph theory for energy conservation and hole detection in wireless sensor network

Masoud

Jaradat

Jannoud

et al. 2019

International Journal of Distributed Sensor Networks

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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.

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Section: Introductionmentioning

confidence: 99%