Context-based Framework to Discovery, Search, and Selection of Computing Devices in the Internet of Things
Resumo
With the development and proliferation of the Internet of Things (IoT), many application areas have started to make use of this new computing paradigm. Moreover, the number of active computing devices are growing at a rapid pace around the world. Consequently, a mechanism able to manage this different devices has become necessary. IoT middleware solutions have been developed to supply this need. However, device discovery, search and selection remain a critical challenge. In this paper we present COBASEN, a work-inprogress framework that has been designed to address the challenges regarding the discovery, search and selection of devices when large number of devices with overlapping and sometimes redundant functionality are available.
Referências
Amaral, L., Tiburski, R., Matos, E., and Hessel, F. (2015). Cooperative middleware platform as a service for internet of things applications. In Proceedings of the 30th
Annual ACM Symposium on Applied Computing (to be published), SAC ’15. ACM.
Apache Software Fundation. Apache Lucene. https://lucene.apache.org/. Accessed: 2015-04-04.
Digital Enterprise Research Institute. Linked sensor middleware (lsm). http://lsm.deri.ie/. Accessed: 2015-03-26.
GSN Team. Global Sensor Network. http://sourceforge.net/apps/trac/gsn/. Accessed: 2015-03-11.
Kevin, A. (2009). That ’internet of things’ thing, in the real world things matter more than ideas. RFID Journal, 22.
LogMeIn. Xively. http://xively.com/. Accessed: 2015-04-10.
Perera, C., Zaslavsky, A., Christen, P., and Georgakopoulos, D. (2012). Ca4iot: Context awareness for internet of things. In Green Computing and Communications (Green-Com), 2012 IEEE International Conference on, pages 775–782. IEEE.
Perera, C., Zaslavsky, A., Christen, P., and Georgakopoulos, D. (2014). Context aware computing for the internet of things: A survey. Communications Surveys & Tutorials, IEEE, 16(1):414–454.
Rajaraman, A. and Ullman, J. D. (2011). Mining of massive datasets. Cambridge University Press.
Sundmaeker, H., Guillemin, P., Friess, P., and Woelfflé, S. (2010). Vision and challenges for realising the internet of things.