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TIIS (한국인터넷정보학회)

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한글제목(Korean Title) Self-organization Scheme of WSNs with Mobile Sensors and Mobile Multiple Sinks for Big Data Computing
영문제목(English Title) Self-organization Scheme of WSNs with Mobile Sensors and Mobile Multiple Sinks for Big Data Computing
저자(Author) Ahreum Shin   Intae Ryoo   Seokhoon Kim  
원문수록처(Citation) VOL 14 NO. 03 PP. 0943 ~ 0961 (2020. 03)
한글내용
(Korean Abstract)
영문내용
(English Abstract)
With the advent of IoT technology and Big Data computing, the importance of WSNs (Wireless Sensor Networks) has been on the rise. For energy-efficient and collection-efficient delivery of any sensed data, lots of novel wireless medium access control (MAC) protocols have been proposed and these MAC schemes are the basis of many IoT systems that leads the upcoming fourth industrial revolution. WSNs play a very important role in collecting Big Data from various IoT sensors. Also, due to the limited amount of battery driving the sensors, energy-saving MAC technologies have been recently studied. In addition, as new IoT technologies for Big Data computing emerge to meet different needs, both sensors and sinks need to be mobile. To guarantee stability of WSNs with dynamic topologies as well as frequent physical changes, the existing MAC schemes must be tuned for better adapting to the new WSN environment which includes energy-efficiency and collection-efficiency of sensors, coverage of WSNs and data collecting methods of sinks. To address these issues, in this paper, a self-organization scheme for mobile sensor networks with mobile multiple sinks has been proposed and verified to adapt both mobile sensors and multiple sinks to 3-dimensional group management MAC protocol. Performance evaluations show that the proposed scheme outperforms the previous schemes in terms of the various usage cases. Therefore, the proposed self-organization scheme might be adaptable for various computing and networking environments with big data
키워드(Keyword) WSN (Wireless Sensor Network)   multi-sink   IoT (Internet of Things)   Mobile Sensor Network   Big Data Computing  
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