Reflective middleware for wireless sensor networks

Delicato, Flávia C.; Pires, Paulo F.; Rust, Luiz Fernando; Pìrmez, Luci; Rezende, José Ferreira de

doi:10.1145/1066677.1066937

Cited by 32 publications

(29 citation statements)

References 6 publications

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“…In the literature, we find several works [14], [3], [7], [4], [5] dealing with the adaptation of WSNs with similar motivation as our approach. However, many of them [14], [3], [7] focus in how to realize this adaptation over the network instead to search for a suitable configuration of the whole system as we propose.…”

Section: Related Workmentioning

confidence: 96%

“…However, many of them [14], [3], [7] focus in how to realize this adaptation over the network instead to search for a suitable configuration of the whole system as we propose. In [14], an adaptation mechanism based in an algorithm to detect coverage and topology of sensors is presented.…”

Section: Related Workmentioning

confidence: 99%

“…They focus on how to reconfigure using a mechanism of code injection. Authors in [7] present a reflecting middleware for WSNs that adapts the network to maintain the QoS requirement. Nevertheless, they only pay attention to QoS dimension instead to provide a mechanism to optimize the network regarding the context changes and other dimensions.…”

Section: Related Workmentioning

confidence: 99%

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Constraint-based self-adaptation of wireless sensor networks

Gámez

Romero

Fuentes

et al. 2012

Proceedings of the 2nd International Workshop on Adaptive Services for the Future Internet and 6th International Workshop on We

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In recent years, the Wireless Sensor Networks (WSNs) have become a useful mechanism to monitor physical phenomena in environments. The sensors that make part of these long-lived networks have to be reconfigured according to context changes in order to preserve the operation of the network. Such reconfigurations require to consider the distributed nature of the sensor nodes as well as their resource scarceness. Therefore, self-adaptations for WSNs have special requirements comparing with traditional information systems. In particular, the reconfiguration of the WSN requires a trade-off between critical dimensions for this kind of networks and devices, such as resource consumption or reconfiguration cost. Thus, in this paper, we propose to exploit Constraint-Satisfaction Problem (CSP) techniques in order to find a suitable configuration for self-adapting WSNs, modelled using a Dynamic Software Product Line (DSPL), when the context changes. We exploit CSP modeling to find a compromise between contradictory dimensions. To illustrate our approach, we use an Intelligent Transportation System scenario. This case study enables us to show the advantages of obtaining suitable and optimized configurations for self-adapting WSNs.

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Section: Related Workmentioning

confidence: 96%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Constraint-based self-adaptation of wireless sensor networks

Gámez

Romero

Fuentes

et al. 2012

Proceedings of the 2nd International Workshop on Adaptive Services for the Future Internet and 6th International Workshop on We

View full text Add to dashboard Cite

show abstract

“…It selects and discovers the best possible set of sensor nodes based on the QoS requirement and the QoS that can be provided for the applications. In [18] a reflective and service-oriented middleware is proposed. It provides an abstraction layer between application layer and the underlying sensor network infrastructure.…”

Section: Middleware Layer Based Qos Support In Wireless Sensor Networkmentioning

confidence: 99%

“…It uses QoS parameters such as data accuracy and energy awareness in its evaluation [13] and keeps a balance between application QoS requirements and the network life time. The main features of this middleware are divided into three parts [18]. Firstly, an interoperable layer is provided by the system between different application and WSNs.…”

Section: Middleware Layer Based Qos Support In Wireless Sensor Networkmentioning

confidence: 99%

Quality of Service (QoS) Provisions in Wireless Sensor Networks and Related Challenges

Bhuyan¹,

Sarma²,

Sarma³

et al. 2010

WSN

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Wireless sensor networks (WSNs) are required to provide different levels of Quality of Services (QoS) based on the type of applications. Providing QoS support in wireless sensor networks is an emerging area of research. Due to resource constraints like processing power, memory, bandwidth and power sources in sensor networks, QoS support in WSNs is a challenging task. In this paper, we discuss the QoS requirements in WSNs and present a survey of some of the QoS aware routing techniques in WSNs. We also explore the middleware approaches for QoS support in WSNs and finally, highlight some open issues and future direction of research for providing QoS in WSNs.

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Exploiting Web Technologies to Build Autonomic Wireless Sensor Networks

Delicato

Pìrmez

Pires

et al. 2006

IFIP the International Federation for Information Processing

Self Cite

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Abstract. Most of the current wireless sensor networks are built for specific applications, with a tight coupling between them and the underlying communication protocols. We present a more flexible architectural approach for building WSNs, in which application-specific features are decoupled from the underlying communication infrastructure, although affecting the network behavior. We propose a framework based on Web technologies that provides a standard interface for accessing the network and configurable service components tailored to meet different application requirements, while optimizing the network scarce resources. Also, a set of ontologies is defined as part of the framework for representing shared knowledge of the WSN domain.

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Reflective middleware for wireless sensor networks

Cited by 32 publications

References 6 publications

Constraint-based self-adaptation of wireless sensor networks

Constraint-based self-adaptation of wireless sensor networks

Quality of Service (QoS) Provisions in Wireless Sensor Networks and Related Challenges

Exploiting Web Technologies to Build Autonomic Wireless Sensor Networks

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