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Service Process Modelling and Performance Analysis for Composite Context Provisioning in IoT
        
        The recent increase in the research interests towards a smart life style has introduced a huge number of devices into 
our life. Some devices are being used by us such as the smart phones while others are most of the time invisible to us such as 
proximity  sensors and light sensors etc. These devices are  being interconnected via Internet  and are  being utilized to read an 
environment,  detect  patterns  and  predict  or  forecast  some  events. Sharing  the  data  and  information  collected  by  these 
desperate  devices  to  clients  over  the  Internet  is  called as  Provision. Due  to disparity  in  the  hardware  and software platforms 
for sensing devices, the provisioning services are also limited to providing contextual data based on single provider and there 
is  no  generic  process  model  which  can  be  utilized  for composite context provisioning  from  multiple  providers.  This  paper 
presents a service-oriented process model for composite context provisioning. A step by step explanation has been provided for 
each process involved and performance analysis has been carried out using a prototype implementation of the model.    
            [1] Alonso R., Tapia D., Bajo J., Garc a ., de Paz J., and Corchado J., Implementing a Hardware Embedded Reactive Agents Platform Based on a Service Oriented Architecture Over Heterogeneous Wireless Sensor Networks, Ad Hoc Networks, vol. 11, no. 1, pp. 151-166, 2013.
[2] Aziz A., Sekercioglu Y., Fitzpatrick P., and Ivanovich M., A Survey on Distributed Topology Control Techniques for Extending the Lifetime of Battery Powered Wireless Sensor Networks, IEEE Communications Surveys and Tutorials, vol. 15, no. 1, pp. 121-144, 2013.
[3] Caragliu A., Del Bo C., and Nijkamp P., Smart Cities in Europe, Journal of Urban Technology, vol. 18, no. 2, pp. 65-82, 2011.
[4] Ceriotti M., Mottola L., Picco G., Murphy A., Guna S., Corra M., Pozzi M., Zonta D., and Zanon P., Monitoring Heritage Buildings With Wireless Sensor Networks: The Torre Aquila Deployment, in Proceedings of the International Conference on Information Processing in Sensor Networks, San Francisco, pp. 277-288, 2009.
[5] G ng r V. and Hancke G., Industrial Wireless Sensor Networks: Applications, Protocols, and Standards, CRC Press, 2013.
[6] Hackmann G., Guo W., Yan G., Sun Z., Lu C., and Dyke S., Cyber-Physical Codesign of Distributed Structural Health Monitoring with Wireless Sensor Networks, IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 1, pp. 63-72, 2014.
[7] Hartung C., Han R., Seielstad C., and Holbrook S., FireWxNet: Amulti-tiered Portable Wireless System for Monitoring Weather Conditions in Wildland Fire Environments, in Proceedings of the 4th International Conference on Mobile Systems Applications and Services, Uppsala, pp. 28-41, 2006.
[8] Huang R., Song W., Xu M., Peterson N., Shirazi B., and LaHusen R., Real-World Sensor Network for Long-Term Volcano Monitoring: Design and Findings, IEEE Transactions on Parallel and Distributed Systems, vol. 23, no. 2, pp. 321-329, 2012.
[9] Khan M. and Hyeon K., IoT Service-Oriented Process Model for Context Acquisition, Telecommunications Review, vol. 24, no. 4, pp. 521-531, 2014.
[10] Kyusakov R., Eliasson J., Delsing J., Van Deventer J., and Gustafsson J., Integration of Wireless Sensor and Actuator Nodes With IT Infrastructure Using Service Oriented Architecture, IEEE Transactions on Industrial Informatics, vol. 9, no. 1, pp. 43-51, 2013.
[11] Lim Y. and Kang S., Intelligent Approach for Data Collection in Cireless Sensor Networks, The International Arab Journal of Information Technology, vol. 10, no. 1, pp. 36- 42, 2013.
[12] Oliveira L. and Rodrigues J., Wireless Sensor Networks: a Survey on Environmental Monitoring, Journal of Communications, vol. 6, no. 2, pp. 143-151, 2011.
[13] Perera C., Zaslavsky A., Christen P., and Georgakopoulos D., Sensing as a Service Model for Smart Cities Supported by Internet of Things, Transactions on Emerging Telecommunications Technologies, vol. 25, no. 1, pp. 81-93, 2014.
[14] Selavo L., Wood A., Cao Q., Sookoor T., Liu H., Srinivasan A., Wu Y., Kang W., Stankovic J., Yong D., and Porter J., Luster: Wireless Sensor Network for Environmental Research, in Proceedings of the 5th International Conference on Embedded Networked Sensor Systems, Sydney, pp. 103-116, 2007.
[15] Song W., Huang R., Xu M., Shirazi B., and LaHusen R., Design and Deployment of Sensor Network for Real-Time High-Fidelity Volcano Monitoring, IEEE Transactions on Parallel and Distributed Systems, vol. 21, no. 11, pp. 1658- 1674, 2010.
[16] Tan R., Xing G., Liu B., Wang J., and Jia X., Exploiting Data Fusion to Improve the Coverage of Wireless Sensor Networks, IEEE/ACM Transactions on Networking, vol. 20, no. 2, pp. 450-462, 2012.
[17] Tolle G., Polastre J., Szewczyk R., Culler D., Turner N., Tu K., and Hong W., A Macroscope Service Process Modelling and Performance Analysis for Composite Context ... 147 in the Redwoods, in Proceeding of the 3rd International Conference on Embedded Networked Sensor Systems, San Diego, pp. 51- 63, 2005.
[18] Tunca C., Alemdar H., Ertan H., Incel O., and Ersoy C., Multimodal Wireless Sensor Network-Based Ambient Assisted living in Real Homes with Multiple Residents, Sensors, vol. 14, no. 6, pp. 9692-9719, 2014.
[19] Yang D., Liu F., and Liang Y., A Survey of the Internet of Things, in Proceeding of the 1st International Conference on E-Business Intelligence, pp. 358-366, 2010.
[20] Zaslavsky A., Perera C., and Georgakopoulos D., Sensing as a Service and Big Data, in Proceeding of the International Conference on Advances in Cloud Computing, Bangalore, 2013. Muhammad Khan received his B.S. and M.S. degrees from Computer Software Engineering Department, University of Engineering and Technology Peshawar in 2008 and 2012 respectively. Meanwhile, he had been a part of the software development industry in Pakistan as a designer and developer. From 2010 onwards, he has been working as a faculty member at his parent department. Currently, he is pursuing his Ph.D. studies from Jeju National University, South Korea and is associated with the Mobile Computing lab at JNU. The major focus of his work is the application of software design strategies towards the design and development of Sensor-Actuator Networks and Internet of Things. DoHyeun Kim received the B.S., M.S. and P.D degrees in Electronics Engineering from Kyungpook National University, Taegu, Korea, in 1988 and 1990, 2000 respectively. He joined the Agency of Defense Development (ADD), Korea, in 1990. Since 2004, he is currently a professor at the Department of Computer Engineering at Jeju National University, Korea. His research interests include sensor web, optimization algorithm and context prediction.
