Service Composition in Service-Oriented Wireless Sensor Networks with Persistent Queries

Wang, Xiumin; Wang, Jianping; Zheng, Zeyu; Xu, Youzhi; Yang, Mei

doi:10.1109/ccnc.2009.4784868

Cited by 22 publications

(25 citation statements)

References 9 publications

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“…When multiple applications concurrently utilize a deployed WSN, selection of proper sensor nodes is very important because applications may have spatial and temporal requirements [21].…”

Section: B Requirementsmentioning

confidence: 99%

“…Selecting the right set of sensor nodes according to the temporal and spatial requirements of applications is crucial [21] to improving the overall Quality of Monitoring (QoM) systems. A more detailed task assignment problem formulation and its solutions are presented in detail in [89], but it does not consider the possibility of multiple applications using a single sensor node at the same time.…”

Section: ) Sensor Node Selection and Task Assignmentmentioning

confidence: 99%

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Wireless sensor network virtualization: A survey

Khan

Belqasmi

Glitho

et al. 2016

IEEE Commun. Surv. Tutorials

284

129

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Abstract-Wireless Sensor Networks (WSNs) are the key components of the emerging Internet-of-Things (IoT) paradigm. They are now ubiquitous and used in a plurality of application domains. WSNs are still domain specific and usually deployed to support a specific application. However, as WSNs' nodes are becoming more and more powerful, it is getting more and more pertinent to research how multiple applications could share a very same WSN infrastructure. Virtualization is a technology that can potentially enable this sharing. This paper is a survey on WSN virtualization. It provides a comprehensive review of the state-of-the-art and an in-depth discussion of the research issues. We introduce the basics of WSN virtualization and motivate its pertinence with carefully selected scenarios. Existing works are presented in detail and critically evaluated using a set of requirements derived from the scenarios. The pertinent research projects are also reviewed. Several research issues are also discussed with hints on how they could be tackled. perform computations and communicate [2]. The most obvious drawback of the current WSNs is that they are domain-specific and task-oriented, tailored for particular applications with little or no possibility of reusing them for newer applications. This strategy is inefficient and leads to redundant deployments when new applications are contemplated. With the introduction of the IoT, it is not unrealistic to envision that future WSN deployments will have to support multiple applications simultaneously. Index Terms-Virtualization is a well-established concept that allows the abstraction of actual physical computing resources into logical units, enabling their efficient usage by multiple independent users [3]. It is a promising technique that can allow the efficient utilization of WSN deployments, as multiple applications will be able to co-exist on the same virtualized WSN. Virtualization is a key technique for the realization of the Future Internet [4] and it is indeed quite pertinent to explore it in the context of WSNs.Virtualizing WSNs brings with it many benefits; for example, even applications that were not envisioned a priori may be able to utilize existing WSN deployments. A second, related benefit is the elimination of tight coupling between WSN services/applications and WSN deployments. This allows experienced as well as novice application developers to develop innovative WSN applications without needing to know the technical details of the WSNs involved. Another benefit is that WSN applications and services can utilize as well as be utilized by third-party applications. It can also help to define a business model, with roles such as physical WSN provider, virtual WSN provider and WSN service provider.The WSN virtualization concept can be applied to several interesting application areas. Recent advances in smart phones and autonomous vehicles [5] have made it possible to have multiple on-board sensors on them. Mobile crowd sensing is one area that can take advantage of virtuali...

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“…When multiple applications concurrently utilize a deployed WSN, selection of proper sensor nodes is very important because applications may have spatial and temporal requirements [21].…”

Section: B Requirementsmentioning

confidence: 99%

Section: ) Sensor Node Selection and Task Assignmentmentioning

confidence: 99%

Wireless sensor network virtualization: A survey

Khan

Belqasmi

Glitho

et al. 2016

IEEE Commun. Surv. Tutorials

284

129

View full text Add to dashboard Cite

show abstract

“…In [41], the authors propose a service composition design in WSNs that allows composing efficient services when there are persistent service queries. The aim is to minimize the service composition cost when a service is required for a longer period of time with the high possibility of service interruptions, e.g., due 462 to sleep mode of sensor nodes.…”

Section: Wireless Sensor Networkmentioning

confidence: 99%

Service composition for IP smart object using realtime Web protocols: Concept and research challenges

Han

Khan

Lee

et al. 2016

Computer Standards & Interfaces

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“…We used the network architecture proposed in [10]. We assumed all the information about the QoS parameters are available in the service layer.…”

Section: Qos-aware Service Compositionmentioning

confidence: 99%

“…[7] Considers the optimal placement of filters (services) with different selectivity rates. [10] Considers service composition for persistent queries. It makes use of dynamic programming to reduce the transmission cost.…”

Section: Related Workmentioning

confidence: 99%

A Global QoS-Aware Service Composition in Wireless Sensor Networks

Vanitha¹,

Palanisamy²

2010

IJCA

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Wireless sensor networks (WSN) present a challenging programming environment because of their limited resources, heterogeneity and highly dynamic nature. Service oriented computing (SOC) can simplify application development by hiding platform-specific capabilities behind services. Their services are dynamically discovered and used at run time, enabling application to be platform independent and adapt to network dynamics. While service-oriented computing is widely used on the internet, adapting it to WSNs is non-trivial due to the extremely limited resource available. The selection of which service provider to use and how to adapt as provider change significantly impacts application and network performance. In this paper, we present a global QoS optimizing and multiobjective service composition algorithm based on the construction of convex hull. Simulation experiments were conducted to show the efficiency of the proposed algorithm.

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Service Composition in Service-Oriented Wireless Sensor Networks with Persistent Queries

Cited by 22 publications

References 9 publications

Wireless sensor network virtualization: A survey

Wireless sensor network virtualization: A survey

Service composition for IP smart object using realtime Web protocols: Concept and research challenges

A Global QoS-Aware Service Composition in Wireless Sensor Networks

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