Middleware for Wireless Sensor Networks: A Survey

Wireless Sensor Networks (WSNs) have found more and more applications in a variety of pervasive computing environments. However, how to support the development, maintenance, deployment and execution of applications over WSNs remains to be a nontrivial and challenging task, mainly because of the gap...

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Bibliographic Details
Published in:Journal of computer science and technology 2008-05, Vol.23 (3), p.305-326
Main Authors: Wang, Miao-Miao, Cao, Jian-Nong, Li, Jing, Dasi, Sajal K.
Format: Article
Language:English
Subjects:
Artificial Intelligence
Classification
Computation
Computer Science
Data Structures and Information Theory
Information Systems Applications (incl.Internet)
Maintenance
Middleware
Networks
Sensors
Software Engineering
Survey
Tasks
Taxonomy
Theory of Computation
Ubiquitous computing
Wireless sensor networks
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Summary:Wireless Sensor Networks (WSNs) have found more and more applications in a variety of pervasive computing environments. However, how to support the development, maintenance, deployment and execution of applications over WSNs remains to be a nontrivial and challenging task, mainly because of the gap between the high level requirements from pervasive computing applications and the underlying operation of WSNs. Middleware for WSN can help bridge the gap and remove impediments. In recent years, research has been carried out on WSN middleware from different aspects and for different purposes. In this paper, we provide a comprehensive review of the existing work on WSN middleware, seeking for a better understanding of the current issues and future directions in this field. We propose a reference framework to analyze the functionalities of WSN middleware in terms of the system abstractions and the services provided. We review the approaches and techniques for implementing the services. On the basis of the analysis and by using a feature tree, we provide taxonomy of the features of WSN middleware and their relationships, and use the taxonomy to classify and evaluate existing work. We also discuss open problems in this important area of research.
ISSN:1000-9000
1860-4749
DOI:10.1007/s11390-008-9135-x