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http://dx.doi.org/10.3837/tiis.2020.03.002

Self-organization Scheme of WSNs with Mobile Sensors and Mobile Multiple Sinks for Big Data Computing  

Shin, Ahreum (Dept. Computer Science and Engineering, Kyung Hee University)
Ryoo, Intae (Dept. Computer Science and Engineering, Kyung Hee University)
Kim, Seokhoon (Dept. Computer Software Engineering, Soonchunhyang University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.14, no.3, 2020 , pp. 943-961 More about this Journal
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.
Keywords
WSN (Wireless Sensor Network); multi-sink; IoT (Internet of Things); Mobile Sensor Network; Big Data Computing;
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