Hindawi Publishing Corporation International Journal of Distributed Sensor Networks Volume 2013, Article ID 546708, 14 pages http://dx.doi.org/10.1155/2013/546708 Research Article A Novel Data Classification and Scheduling Scheme in the Virtualization of Wireless Sensor Networks Md. Motaharul Islam and Eui-Nam Huh Department of Computer Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do 446-701, Republic of Korea Correspondence should be addressed to Eui-Nam Huh; johnhuh@khu.ac.kr Received 25 February 2013; Revised 27 June 2013; Accepted 1 July 2013 Academic Editor: Al-Sakib Khan Pathan Copyright © 2013 Md. M. Islam and E.-N. Huh. Tis is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Most of the nodes in a wireless sensor network (WSN) remain idle for the maximum period of their lifetime resulting in underutilization of their resources. Tere are many ongoing research studies to utilize the resources of sensor nodes in an efcient way. Virtualization of sensor network (VSN) is one of the novel approaches to utilize the physical infrastructure of a WSN. VSN can be simply defned as the virtual version of a WSN over the physical sensor infrastructure. By allowing sensor nodes to coexist on a shared physical substrate, VSN may provide fexibility, cost efectiveness, and manageability. Tis paper proposes a QoS-aware data classifcation and scheduling framework for VSN in the health care sector. We develop a tiny virtual machine called VSNware for health care applications, which facilitates QoS-aware forwarding of data packets, maintaining the reliability, delay guarantee, and speed. Te simulation results also show that the proposed scheme outperforms the conventional WSN approaches. 1. Introduction Recent advances in electronics have enabled the development of multifunctional smart sensor nodes that are small in size and communicate in an untethered manner over short distances. A sensor network consists of a large number of tiny sensor nodes that are densely deployed over a specifc target area [1–4]. Tere is a robust deployment of WSNs in the health care sector because of their small size. Today’s smart sensor node can efciently monitor diferent vital signs such as the cardiac data, temperature, blood pressure, pulse rate, and saturation of peripheral oxygen (SPO 2 ) of a patient. In the health care scenario, applications demand diferent types of QoS requirements such as reliability, end-to-end delay, speed, and timeliness. Tere are many ongoing eforts to enhance the QoS issues of WSNs in the existing literature [5–7]. In this age of recession, providing QoS afordably in the WSN-based health care system is a big challenge for the increasing worldwide elderly population, which is the largest demographic group in the developed countries. For this very reason, researchers are searching for cost-efective ways to support QoS in WSNs for the health care sector. Very recently, network virtualization has created a reso- nance among the network research community. Te concept of sensor virtualization has also attracted a great deal of attention from industry and academia [8–10]. Virtualization of sensor network (VSN) can be defned as the separation of functions for the traditional wireless sensor network (WSN) service provider into two parts: the sensor infrastructure provider (SInP), which manages the physical sensor infras- tructure, and the VSN service provider (VSNSP), which develops VSN by aggregating the resources from multi- ple SInPs and ofers services to the application-level users (ALUs). Te WSN virtualization renaissance has originated mainly from the realization that most of the sensor nodes remain idle for most of the time in a WSN. Virtualization is one of the best ways to utilize the physical sensor infrastruc- ture. VSN can provide a platform upon which novel sensor network architectures can be built, experimentally tested, and evaluated. In addition, virtualization in WSNs is expected to provide a clean separation of services and infrastructure and to facilitate new ways of doing business with sensor network resources among multiple service providers and application- level users [8]. In this paper, we propose QoS-aware data classifcation and a scheduling framework for the health care system in VSN. Te sensor node senses parallel data and forwards it to a