Journal
CMC-COMPUTERS MATERIALS & CONTINUA
Volume 58, Issue 3, Pages 711-725Publisher
TECH SCIENCE PRESS
DOI: 10.32604/cmc.2019.05450
Keywords
Internet of things; wireless sensor networks; clustering; mobile data collection; timer
Funding
- National Natural Science Foundation of China [61772454, 61811530332, 61811540410, U1836208]
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Recently, Wireless sensor networks (WSNs) have become very popular research topics which are applied to many applications. They provide pervasive computing services and techniques in various potential applications for the Internet of Things (IoT). An Asynchronous Clustering and Mobile Data Gathering based on Timer Mechanism (ACMDGTM) algorithm is proposed which would mitigate the problem of hot spots among sensors to enhance the lifetime of networks. The clustering process takes sensors' location and residual energy into consideration to elect suitable cluster heads. Furthermore, one mobile sink node is employed to access cluster heads in accordance with the data overflow time and moving time from cluster heads to itself. Related experimental results display that the presented method can avoid long distance communicate between sensor nodes. Furthermore, this algorithm reduces energy consumption effectively and improves package delivery rate.
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