TY - CHAP
T1 - Device search and selection for CPS
AU - Perera, Charith
AU - Liu, Chi Harold
AU - Christen, Peter
N1 - Publisher Copyright:
© 2016 by Taylor and Francis Group, LLC.
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Besides mobile sensing platforms and naming/addressing/profile services, searching functionality also plays a vital role in the domain of cyber-physical systems (CPS). Many different 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 different 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 different 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.
AB - Besides mobile sensing platforms and naming/addressing/profile services, searching functionality also plays a vital role in the domain of cyber-physical systems (CPS). Many different 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 different 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 different 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.
UR - http://www.scopus.com/inward/record.url?scp=85052708352&partnerID=8YFLogxK
U2 - 10.1201/b19003
DO - 10.1201/b19003
M3 - Chapter
AN - SCOPUS:85052708352
SN - 9781482208979
SP - 67
EP - 100
BT - Cyber Physical Systems
PB - CRC Press
ER -
