Open AccessAn Energy Efficient Clustering Algorithm in Wireless Sensor Networks for Internet of Things Applications
Author(s) -
Xingjie Ci,
Kai Wen,
Ying Sun,
Weifan Sun,
Wei Deng
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1881/4/042035
Subject(s) - wireless sensor network , computer science , cluster analysis , energy consumption , computer network , node (physics) , efficient energy use , distributed computing , cloud computing , energy conservation , key distribution in wireless sensor networks , wireless , wireless network , telecommunications , engineering , artificial intelligence , electrical engineering , structural engineering , operating system
Internet of things (IoT) integrates sensor, radio frequency identification, network and cloud computing technology into a large-scale monitoring area. Wireless sensor network (WSN), as the most suitable infrastructure for the Internet of Things, how to reduce its energy consumption has been a research hotspot. In hierarchical networks, cluster head nodes need to take on more energy consumption tasks. Therefore, reasonable cluster head selection scheme and normal node joining cluster mechanism become particularly important. This paper proposes a new clustering method to save energy and prolong network life. Firstly, in the cluster head selection phase, the influence of energy threshold, residual energy, node density and communication factor is considered. Secondly, in the ordinary node joining cluster phase, the residual energy and distance factor are considered to form the non-uniform cluster set of the network. Simulation results show that the algorithm has good performance in reducing and balancing energy consumption.