Authors: Muhannad Quwaider; Yaser Jararweh
Addresses: Department of Computer Engineering, Jordan University of Science and Technology, Irbid, Jordan ' Department of Computer Engineering, Jordan University of Science and Technology, Irbid, Jordan
Abstract: This paper presents an efficient large-scale data collection in wireless body area network (WBAN) in the presence of cloudlet-based prototype system. The key contribution of this paper is to collect the observed data of WBANs in a large-scale and convey it in consistent manner to the other end of service providers. A model of WBANs is proposed in this work including virtualised machines and cloudlet in order to characterise the efficient WBANs data collection. A scalable storage and processing infrastructure is proposed to support large-scale WBANs system, which is efficiently capable to handle the big data generated by large number of WBANs users. The proposed model supports effective cost communication technologies through Wi-Fi technology. Performance results of the proposed prototype are evaluated using advanced CloudSim simulator. The performance results show that the consumed power and packet delay of the collected data are decreased by increasing the number of virtualised machines and cloudlets in the monitored area. The results show also that the performance depends on the method of the virtualised cloudlet distribution in the target area for a given number of users.
Keywords: wireless BANs; body area networks; WBANs; cloud computing; big data collection; virtualised cloudlet deployment; data management; simulation; power consumption; packet delay; virtual machines; cloudlets.
International Journal of Computational Science and Engineering, 2017 Vol.14 No.1, pp.16 - 26
Received: 08 Jun 2014
Accepted: 23 Nov 2014
Published online: 26 Dec 2016 *