TY - JOUR
T1 - An experimental study on geospatial indexing for sensor service discovery
AU - Wang, Wei
AU - De, Suparna
AU - Cassar, Gilbert
AU - Moessner, Klaus
N1 - Publisher Copyright:
© 2014 Elsevier Ltd.
PY - 2015/5/1
Y1 - 2015/5/1
N2 - The Internet of Things enables human beings to better interact with and understand their surrounding environments by extending computational capabilities to the physical world. A critical driving force behind this is the rapid development and wide deployment of wireless sensor networks, which continuously produce a large amount of real-world data for many application domains. Similar to many other large-scale distributed technologies, interoperability and scalability are the prominent and persistent challenges. The proposal of sensor-as-a-service aims to address these challenges; however, to our knowledge, there are no concrete implementations of techniques to support the idea, in particular, large-scale, distributed sensor service discovery. Based on the distinctive characteristics of the sensor services, we develop a scalable discovery architecture using geospatial indexing techniques and semantic service technologies. We perform extensive experimental studies to verify the performance of the proposed method and its applicability to large-scale, distributed sensor service discovery.
AB - The Internet of Things enables human beings to better interact with and understand their surrounding environments by extending computational capabilities to the physical world. A critical driving force behind this is the rapid development and wide deployment of wireless sensor networks, which continuously produce a large amount of real-world data for many application domains. Similar to many other large-scale distributed technologies, interoperability and scalability are the prominent and persistent challenges. The proposal of sensor-as-a-service aims to address these challenges; however, to our knowledge, there are no concrete implementations of techniques to support the idea, in particular, large-scale, distributed sensor service discovery. Based on the distinctive characteristics of the sensor services, we develop a scalable discovery architecture using geospatial indexing techniques and semantic service technologies. We perform extensive experimental studies to verify the performance of the proposed method and its applicability to large-scale, distributed sensor service discovery.
KW - Geospatial indexing
KW - R-Tree
KW - Semantic search
KW - Sensor service discovery
KW - Sensor services
UR - http://www.scopus.com/inward/record.url?scp=84921038807&partnerID=8YFLogxK
U2 - 10.1016/j.eswa.2014.11.058
DO - 10.1016/j.eswa.2014.11.058
M3 - Article
AN - SCOPUS:84921038807
SN - 0957-4174
VL - 42
SP - 3528
EP - 3538
JO - Expert Systems with Applications
JF - Expert Systems with Applications
IS - 7
ER -