TRENDY: an adaptive and context-aware service discovery protocol for 6LoWPANs

Authors:
Talal Ashraf Butt;Iain Phillips;Lin Guan;George Oikonomou
Affiliations:
Loughborough University, UK;Loughborough University, UK;Loughborough University, UK;Loughborough University, UK
Venue:
Proceedings of the Third International Workshop on the Web of Things
Year:
2012

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Abstract

We propose, trendy, a new registry-based Service Discovery protocol with context awareness. It uses CoAP-based RESTful web services to provide a standard interoperable interface which can be easily translated from HTTP. In addition, trendy introduces an adaptive timer and grouping mechanism to minimise control overhead and energy consumption. trendy's grouping is based on location tags to localise status maintenance traffic and to compose and offer new group based services. Our simulation results show that trendy techniques reduce the control traffic considerably and also reduce the energy consumption, while offering the optimal service selection.