Sensor Search Techniques for Sensing as a Service Architecture for the Internet of Things

@article{Perera2014SensorST,
  title={Sensor Search Techniques for Sensing as a Service Architecture for the Internet of Things},
  author={Charith Perera and Arkady B. Zaslavsky and Chi Harold Liu and Michael Compton and Peter Christen and Dimitrios Georgakopoulos},
  journal={IEEE Sensors Journal},
  year={2014},
  volume={14},
  pages={406-420}
}
The Internet of Things (IoT) is part of the Internet of the future and will comprise billions of intelligent communicating “things” or Internet Connected Objects (ICOs) that will have sensing, actuating, and data processing capabilities. Each ICO will have one or more embedded sensors that will capture potentially enormous amounts of data. The sensors and related data streams can be clustered physically or virtually, which raises the challenge of searching and selecting the right sensors for a… 
Design of a Sensing Service Architecture for Internet of Things with Semantic Sensor Selection
  • Yao-Chung Hsu, Chi-Han Lin, Wen-Tsuen Chen
  • Computer Science
    2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 IEEE 11th Intl Conf on Autonomic and Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops
  • 2014
TLDR
This paper proposes a sensing service architecture with a sensor search and selection method to efficiently select relevant sensors among a large set of available sensors and develops a prototype of the proposed architecture with semantic sensor selection which can be applied to many applications.
A Distributed Sensor Data Search Platform for Internet of Things Environments
TLDR
The Visual Search for Internet of Things (ViSIoT) platform is proposed to help technical and non-technical users to discover and use sensors as a service for different application purposes and a real case study is used to generate weather condition reports to support rheumatism patients.
Sensing in the Collaborative Internet of Things
TLDR
It is concluded that, in order to safely use data available in the IoT, there need a filtering process to increase the data reliability and a new simple and powerful approach is proposed that helps to select reliable sensors.
A bio-inspired adaptive model for search and selection in the Internet of Things environment
TLDR
This work proposes a new distributed model to efficiently deal with heterogeneous sensors and select accurate ones in a dynamic IoT environment and outperforms state-of-the-art approaches in terms of accuracy, execution time, quality of clustering, and scalability of clusters.
Sensor Search Using Clustering Technique in a Massive IoT Environment
TLDR
Experimental results show that the search time and response time is improved using this approach in large scale IoT environments.
Sensing as a Service in Cloud-Centric Internet of Things Architecture
TLDR
This chapter provides an overview of the state of the art in S2aaS systems, and reports recent proposals to address the most crucial challenges.
Cluster Oriented Sensor Selection for Context-Aware Internet of Things Applications
TLDR
An approach for optimal selection of IoT sensors based on cluster and cluster head formation is proposed for faster and effective retrieval and the experimental evaluation shows that the proposed approach produces better result than traditional random clustering.
Large-Scale Indexing, Discovery, and Ranking for the Internet of Things (IoT)
TLDR
A holistic overview of the state-of-the-art on indexing, discovery, and ranking of IoT data is provided to pave the way for researchers to design, develop, implement, and evaluate techniques and approaches for on-line large-scale distributed IoT applications and services.
...
...

References

SHOWING 1-10 OF 48 REFERENCES
Context-Aware Sensor Search, Selection and Ranking Model for Internet of Things Middleware
TLDR
CASSARAM is presented, a context-aware sensor search, selection, and ranking model for Internet of Things to address the research challenges of selecting sensors when large numbers of sensors with overlapping and sometimes redundant functionality are available.
MOSDEN: An Internet of Things Middleware for Resource Constrained Mobile Devices
TLDR
This paper proposes Mobile Sensor Data Processing Engine (MOSDEN), an plug-in-based IoT middleware for mobile devices, that allows to collect and process sensor data without programming efforts and also supports sensing as a service model.
CA4IOT: Context Awareness for Internet of Things
TLDR
The Context Awareness for Internet of Things (CA4IOT) architecture is proposed to help users by automating the task of selecting the sensors according to the problems/tasks at hand, and focuses on automated configuration of filtering, fusion and reasoning mechanisms that can be applied to the collected sensor data streams using selected sensors.
Sensor ranking: A primitive for efficient content-based sensor search
TLDR
This paper introduces a primitive called sensor ranking to enable efficient search for sensors that have a certain output state at the time of the query and shows that sensor ranking can significantly improve the efficiency of content-based sensor search.
Context Aware Computing for The Internet of Things: A Survey
TLDR
This paper surveys context awareness from an IoT perspective and addresses a broad range of techniques, methods, models, functionalities, systems, applications, and middleware solutions related to context awareness and IoT.
Fuzzy-based sensor search in the Web of Things
TLDR
This work proposes sensor similarity search, where given a sensor, other sensors on the WoT are found that produced similar output in the past, and finds that this approach results in a high accuracy.
Infrastructure for Data Processing in Large-Scale Interconnected Sensor Networks
TLDR
The global sensor networks (GSN) middleware is described, its conceptual model, abstractions, and architecture are presented, and the efficiency of the implementation is demonstrated through experiments with typical high-load application profiles.
Connecting mobile things to global sensor network middleware using system-generated wrappers
TLDR
The proposed ASCM4GSN architecture significantly speeds up the wrapper development and sensor configuration process as demonstrated for Android mobile phone based sensors as well as for Sun SPOT sensors.
Semantic Sensor Data Search in a Large-Scale Federated Sensor Network
TLDR
This work proposes an ontology-based approach, that consists in exposing sensor observations in terms of ontologies enriched with semantic metadata, providing information such as: which sensor recorded what, where, when, and in which conditions.
Sensing as a Service and Big Data
TLDR
Emerging Internet of Things architecture, large scale sensor network applications, federating sensor networks, sensor data and related context capturing techniques, challenges in cloud-based management, storing, archiving and processing of sensor data are discussed.
...
...