An IoT Environment for WSN Adaptive QoS

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.

[1]  Panayotis Kikiras,et al.  Enabling QoS in the Internet of Things , 2012 .

[2]  Cristina Alcaraz,et al.  Wireless Sensor Networks and the Internet of Things: Do We Need a Complete Integration? , 2010, IWSEC 2010.

[3]  Ioannis Chatzigiannakis,et al.  Flexible experimentation in wireless sensor networks , 2012, Commun. ACM.

[4]  Cheng Huang,et al.  QoSaaS: Quality of Service as a Service , 2011, Hot-ICE.

[5]  Alexander Kröller,et al.  Using and operating wireless sensor network testbeds with WISEBED , 2011, 2011 The 10th IFIP Annual Mediterranean Ad Hoc Networking Workshop.

[6]  Ioannis Chatzigiannakis,et al.  Virtualising Testbeds to Support Large-Scale Reconfigurable Experimental Facilities , 2010, EWSN.

[7]  Marimuthu Palaniswami,et al.  Network architecture and QoS issues in the internet of things for a smart city , 2012, 2012 International Symposium on Communications and Information Technologies (ISCIT).

[8]  Adam Dunkels,et al.  Contiki - a lightweight and flexible operating system for tiny networked sensors , 2004, 29th Annual IEEE International Conference on Local Computer Networks.

[9]  Ioannis Chatzigiannakis,et al.  WISEBED: An Open Large-Scale Wireless Sensor Network Testbed , 2009, SENSAPPEAL.

[10]  Adam Dunkels,et al.  A Low-Power CoAP for Contiki , 2011, 2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems.

[11]  Donald A. Adjeroh,et al.  Priority-based rate control for service differentiation and congestion control in wireless multimedia sensor networks , 2009, Comput. Networks.

[12]  Rajib Mall,et al.  Quality of Service (QoS) Provisions in Wireless Sensor Networks and Related Challenges , 2010, Wirel. Sens. Netw..

[13]  Aravind Srinivasan,et al.  Mélange: Supporting heterogeneous QoS requirements in delay tolerant sensor networks , 2010, 2010 Seventh International Conference on Networked Sensing Systems (INSS).

[14]  Sivaramakrishnan Sivakumar,et al.  Data Flow and Management for an IoT Based WSN , 2015, 2015 IEEE International Conference on Data Science and Data Intensive Systems.

[15]  Chang-Gun Lee,et al.  Probabilistic QoS guarantee in reliability and timeliness domains in wireless sensor networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[16]  Ian F. Akyildiz,et al.  A survey on wireless multimedia sensor networks , 2007, Comput. Networks.

[17]  Chang-Gun Lee,et al.  MMSPEED: multipath Multi-SPEED protocol for QoS guarantee of reliability and. Timeliness in wireless sensor networks , 2006, IEEE Transactions on Mobile Computing.

[18]  Sivakumar Sivaramakrishnan Energy efficient opportunistic connectivity for wireless sensor network , 2013 .

[19]  Qian Li,et al.  Making wireless sensor network simulators cooperate , 2010, PE-WASUN '10.

[20]  Syarifah Ezdiani,et al.  An Architectural Concept for Sensor Cloud QoSaaS Testbed , 2015, RealWSN@SenSys.

[21]  Syarifah Ezdiani,et al.  Modelling the Integrated QoS for Wireless Sensor Networks with Heterogeneous Data Traffic , 2015, Open J. Internet Things.

[22]  Hongwei Zhang,et al.  Elements of sensornet testbed design , 2010 .

[23]  Young-Long Chen,et al.  A fuzzy logical controller for traffic load parameter with priority-based rate in wireless multimedia sensor networks , 2014, Appl. Soft Comput..