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An Experimental Study on Geospatial Indexing for Sensor Service Discovery

Wang, W, De, S, Cassar, G and Moessner, K (2015) An Experimental Study on Geospatial Indexing for Sensor Service Discovery Expert Systems with Applications, 42 (7). pp. 3528-3538.

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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.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Authors :
Date : 1 May 2015
Identification Number : 10.1016/j.eswa.2014.11.058
Uncontrolled Keywords : Sensor Services, Sensor Service Discovery, Geospatial Indexing, R-Tree, Semantic Search
Additional Information : NOTICE: this is the author’s version of a work that was accepted for publication in Expert Systems with Applications. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Expert Systems with Applications, 42(7), May 2015, DOI 10.1016/j.eswa.2014.11.058.
Depositing User : Symplectic Elements
Date Deposited : 27 Jan 2015 09:34
Last Modified : 31 Oct 2017 17:19

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