Title
A Scalable IoT Service Search Based on Clustering and Aggregation.
Abstract
With the Internet of Things (IoT), we are facing a proliferation of connected devices distributed over a collection of geographical locations and offering new services to users referred to as IoT services. These services are highly heterogeneous and their number is growing fast. To facilitate IoT service search, some solutions rely on the use of Semantic Web technologies to create homogenous service descriptions to reason on and support accurate and flexible search. However, most existing approaches are centralized and fail to scale with respect to the number of advertised services. To address this scalability issue, we present in this paper a distributed, semantic-based IoT service search system. It relies on a hierarchical network of semantic gateways that represent geographical locations and host semantic service descriptions. To answer a service query, our approach is based on request matching and forwarding though the use of routing tables and similarity thresholds. Based on defined metrics, recursive clustering and information aggregation are performed over the hierarchy of gateways to construct the routing tables. We prove theoretically that our method ensures an accurate search of all matching services within the system. Experimental results show that our method enables to reduce greatly search cost with comparison to a centralized approach and has an acceptable search path length.
Year
DOI
Venue
2013
10.1109/GreenCom-iThings-CPSCom.2013.86
GreenCom/iThings/CPScom
Keywords
Field
DocType
acceptable search path length,host semantic service description,semantic-based iot service search,iot service search,scalable iot service search,geographical location,advertised service,iot service,accurate search,homogenous service description,flexible search,directed graphs,web services,internet of things,semantic web
Semantic Web Stack,Semantic search,Computer science,Semantic Web,Computer network,Search cost,Social Semantic Web,Routing table,Web service,Database,Scalability
Conference
Citations 
PageRank 
References 
9
0.52
9
Authors
4
Name
Order
Citations
PageRank
Sameh Ben Fredj1140.99
Mathieu Boussard2939.03
Daniel Kofman3332.83
Ludovic Noirie4619.20