2015 IEEE International Conference on Data Science and Data Intensive Systems (DSDIS) (2015)
Dec. 11, 2015 to Dec. 13, 2015
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DSDIS.2015.28
The role of Internet of Things (IoT) in facilitating connectivity of the wireless sensor network (WSN) to the remote server or cloud over the Internet encourages the formation of a highly complex system with significant potential. This enable the interaction between the physical and virtual sensor clouds resulting in the ability to allow for flexibility within the physical system to adapt with the service requirements. The study of quality of service (QoS) in the domain of WSN-IoT brings forward potentials and challenges, especially due to cost and scalability limitations in physical testbeds and low credibility of simulation results. In this paper, system architecture of a testbed with Adaptive Quality of Service (AQoS) is proposed. AQoS testbed concept provides an avenue for a flexible experimentation system which is capable of reacting to dynamic changes of network conditions. By employing network simulator tools to derive the network performance information based on historical data of a physical testbed, realistic prediction of network performance can be made, and adjustment to the physical network can be proposed. This paper reports the preliminary experiences of implementing an organization for encouraging AQoS. Early stages of testing the organization for absorbing the system behavior and reacting with necessary actuation to the WSN reconfiguration has shown encouraging results.
Quality of service, Wireless sensor networks, Servers, Databases, Cloud computing, Data models
S. Ezdiani, I. S. Acharyya, S. Sivakumar and A. Al-Anbuky, "An IoT Environment for WSN Adaptive QoS," 2015 IEEE International Conference on Data Science and Data Intensive Systems (DSDIS), Sydney, Australia, 2015, pp. 586-593.