Improving the Network Lifetime in Wireless Sensor Network for Internet of Thing Applications

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ID: 104455
2019
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Abstract
Mobile Wireless sensor networks have acquired a great interest recently due to their capability to provide good solutions and low-priced in multiple fields. Internet of Things (IoT) connects different technologies such as sensing, communication, networking, and cloud computing. It can be used in monitoring, health care and smart cities. The most suitable infrastructure for IoT application is wireless sensor networks. One of the main defiance of WSNs is the power limitation of the sensor node. Clustering model is an actual way to eliminate the inspired power during the transmission of the sensed data to a central point called a Base Station (BS). In this paper, efficient clustering protocols are offered to prolong network lifetime. A kernel-based fuzzy C-means clustering algorithm (KFCM) is adopted to cluster sensor nodes, while a cluster head (CH) is selected for each cluster based on a fuzzy logic system. Results depicts that the new work performs better than the existing algorithms (as Low Energy Adaptive Cluster Hierarchy-Mobile (LEACH-M) and Low Energy Adaptive Cluster Hierarchy-Mobile Enhancement (LEACH-ME)) in terms of network lifetime, energy consumption, packet transmission and stability period.  
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salman2019improvingalkhawarizmi Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Salman, Ahmed A.;Alisa, Zainab T.;
Journal al-khawarizmi engineering journal
Year 2019
DOI
DOI not found
URL
http://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/576
Keywords
Technology (General) Chemical technology Engineering (General). Civil engineering (General) Technology Science chemical engineering telecommunication

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