Cloud-assisted data management in wireless body area networks

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.

Power Saving MAC Protocols for Wireless Body Area Networks (WBANs)

“…Wireless body area network (WBAN) is the positioning of smart and small body nodes with sensing abilities in and on the human body for monitoring important signs about the body functioning in a convenient and nondisruptive manner [1], [2], [3], [4]. Biological data is acquired by the body nodes and forwarded to a Body Network Coordinator (BNC), which then relays the information to other tiers of the communication systems.…”

Special Issue on Body Area Networks

“…Gateways, networks and cloud technology [37] extend the number of applications a WBAN can offer and support. One example of such applications is (remote) healthcare [38][39][40][41][42][43], where WBANs are considered a key technology to help facing the side effects of an aging population on healthcare systems and society in general.This special issue is devoted to collecting contributions from researchers on the realization of real-world and reliable wireless body area networks, platforms and applications, addressing the major associated challenges. Nine papers have been selected for this special issue, beginning with a paper [44] that gives the reader a general overview of the WBAN research field and highlights its main features and requirements, sensor types and contributions to healthcare, concluding with the main current challenges.…”

“…Gateways, networks and cloud technology [37] extend the number of applications a WBAN can offer and support. One example of such applications is (remote) healthcare [38][39][40][41][42][43], where WBANs are considered a key technology to help facing the side effects of an aging population on healthcare systems and society in general.…”