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个人信息Personal Information
教授
博士生导师
硕士生导师
任职 : 智能计算教研室主任
性别:男
毕业院校:吉林大学
学位:博士
所在单位:计算机科学与技术学院
学科:计算机应用技术. 计算机软件与理论
办公地点:创新园大厦A820
联系方式:13304609362
电子邮箱:lucos@dlut.edu.cn
论文成果
当前位置: 姚念民欢迎报考硕博士 >> 科学研究 >> 论文成果Efficient data transfer in clustered IoT network with cooperative member nodes
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论文类型:期刊论文
发表时间:2020-12-01
发表刊物:MULTIMEDIA TOOLS AND APPLICATIONS
卷号:79
期号:45-46
页面范围:34241-34251
ISSN号:1380-7501
关键字:Wireless sensor network; Clustering; IoT; Node cooperation
摘要:Wireless Sensor Network (WSN) is composed of numerous tiny smart sensors nodes integrated with Internet of Things (IoT) play a crucial role in many applications. The IoT connects physical devices to form a network which consist of software, sensor for exchange of information. Clustering is most common technique for efficient energy utilization in WNS. Sensor nodes when they have data, forwards it to Cluster Head (CH) and CH transfers the received data from the sensor nodes to the sink. When the sink nodes are far away from CH, long-haul transmission consumes higher power. In this paper we propose efficient data transfer mechanism for clustered IoT network through the cooperation of member nodes. First, we use greedy algorithm to select cooperative sensor nodes to act as relay for long distance transmission. Then, to encourage sensor nodes in data forwarding, cluster head uses priority buffers to prioritize assisting sensor nodes data. Simulation results show that, the proposed approach conserves energy and increases the life-time of clustered IoT network.