Device search and selection for CPS

Perera, Charith ORCID: https://orcid.org/0000-0002-0190-3346, Liu, Chi Harold and Christen, Peter 2015. Device search and selection for CPS. Liu, Chi (Harold) and Zhang, Yan, eds. Cyber Physical Systems Architectures, Protocols and Applications, Boca Raton, FL, USA: Taylor & Francis, pp. 67-99.

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Abstract

Cyber-physical systems (CPS) represent the expansion in computerized interconnectivity. This phenomenon is also moving towards the Internet of Things (IoT) paradigm. Searching functionality plays a vital role in this domain. Many di erent types of search capabilities are required to build a comprehensive CPS architecture. In CPS, users may want to search smart devices and services. In this chapter, we discuss concepts and techniques related to device search and selection. We briefly discuss di erent types of device searching approaches where each has its own objectives and applications. One such device searching technique is context-aware searching. In this chapter, we present context-aware sensor search, selection and ranking model called CASSARAM in detail. This model addresses the challenge of efficiently selecting a subset of relevant sensors out of a large set of sensors with similar functionality and capabilities. CASSARAM takes into account user preferences and considers a broad range of sensor characteristics, such as reliability, accuracy, location, battery life, and many more. Later in the chapter, we discuss three di erent techniques that can be used to improve the efficiently of CASSARAM. We implemented the proof of concept software using Java. Testing and performance evaluation results are also discussed. We also highlight open research challenges and opportunities in order to support future research directions.

Item Type:	Book Section
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Publisher:	Taylor & Francis
ISBN:	9780429160363
Last Modified:	07 Nov 2022 10:57
URI:	https://orca.cardiff.ac.uk/id/eprint/134070

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