Edge Server Software Architecture For Sensor Applications

Rooney, Seán; Bauer, Daniel; Scotton, Paolo

doi:10.1109/saint.2005.24

Cited by 7 publications

(2 citation statements)

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“…For integrating WSNs into existing legacy middleware, authors of [65] described an "edge server middleware" which performs application-specific processing at the boundary between the WSN and the legacy middleware. Application level integration is more related to task coordination, where the applications are running in both the WSNs and the leverage system.…”

Section: Wsn Integrationmentioning

confidence: 99%

Middleware for Wireless Sensor Networks: A Survey

Wang

Cao

et al. 2008

J. Comput. Sci. Technol.

176

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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.ularity of WSN-based applications.WSN middleware helps the programmer develop applications in several ways. First, it provides appropriate system abstractions, so that the application programmer can focus on the application logic without caring too much about the lower level implementation details. Second, it provides reusable code services, such as code update, and data services, such as data filtering, so that the application programmer can deploy and execute the application without being troubled with complex and tedious functions. Third, it helps the programmer in network infrastructure management and adaptation by providing efficient resource services, e.g., power management. It also supports system integration, monitoring, as well as system security.

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Section: Wsn Integrationmentioning

confidence: 99%

Middleware for Wireless Sensor Networks: A Survey

Wang

Cao

et al. 2008

J. Comput. Sci. Technol.

176

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“…Part of the problem is the fact that edge servers are deployed in hostile environments thus receiving less protection than standard server installations [9]. This paper does not concern itself with this aspect nor indeed the implementation of protocols for edge server communication, rather we refer the reader to [10].…”

Section: Hash Tablementioning

confidence: 99%

A computational intelligence method for traversing dynamically constructed networks of knowledge

et al. 2008

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A core goal for autonomous systems such as proposed here is automated collaboration in order to perform tasks or share information. The system is always distributed by default and frequently on a large-scale. It can be argued that robustness and economy demand the deployment of a tested autonomic supporting infrastructure whenever possible. A knowledge network is a generic structure that organises distributed knowledge of any format into a system that will allow it to be retrieved efficiently. The rationale of the knowledge network is to act as a middle layer that connects to a multitude of sources, organises them based on various concepts and finally provides well-structured, pre-organised knowledge to individual services and applications. To use the knowledge network we need a querying mechanism to be able to retrieve information. The knowledge network will organise itself in an autonomous manner and it is possible to use the querying mechanism also as part of the knowledge organization mechanism, to autonomously create temporary views that reflect the use of the system. This paper is an attempt to investigate the peculiarities of node behaviour in traversing such a knowledge network. We investigate a variety of methods of traversing a knowledge network.

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Entity Resolution and Information Quality

Talburt¹

2011

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Edge Server Software Architecture For Sensor Applications

Cited by 7 publications

References 1 publication

Middleware for Wireless Sensor Networks: A Survey

Middleware for Wireless Sensor Networks: A Survey

A computational intelligence method for traversing dynamically constructed networks of knowledge

Entity Resolution and Information Quality

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