Quality of Service in Wireless Sensor Networks

Başaran, Can; Kang, Kyoung-Don

doi:10.1007/978-1-84882-218-4_12

Cited by 19 publications

(11 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The answers to these questions were obtained through the assessment of the metrics defined for the controlled experiment (see Sect. 3 …”

Section: Questionsmentioning

confidence: 97%

“…Therefore, in one of our previous works we managed to add to ArchWiSeN a "Network Energy Consumption Analyzer" [35] that estimates the usage of power of a node and provides such information to the developers where they can compare the obtained information with the application requirements in early stages of development. Data accuracy is a property that corresponds to the precision of the reported phenomena and is very important in domains where data precision is a required quality of service attribute [3]. The precision of the data obtained through a sensor can be determined by the sensor chip inherent characteristics, and thus, it is An approach based on the domain perspective to develop WSAN applications a non-functional requirement that limits the number of target hardware and is defined at the structural view.…”

Section: Platform-independent Meta-modelmentioning

confidence: 99%

See 1 more Smart Citation

An approach based on the domain perspective to develop WSAN applications

et al. 2015

View full text Add to dashboard Cite

As wireless sensor and actuator networks (WSANs) can be used in many different domains, WSAN applications have to be built from two viewpoints: domain and network. These different viewpoints create a gap between the abstractions handled by the application developers, namely the domain and network experts. Furthermore, there is a coupling between the application logic and the underlying sensor platform, which results in platform-dependent projects and source codes difficult to maintain, modify, and reuse. Consequently, the process of developing an application becomes cumbersome. In this paper, we propose a modeldriven architecture (MDA) approach for WSAN application development. Our approach aims to facilitate the task of the developers by: (1) enabling application design through high abstraction level models; (2) providing a specific methodology for developing WSAN applications; and (3) offering an MDA infrastructure composed of PIM, PSM, and transformation programs to support this process. Our approach Communicated by Prof. allows the direct contribution of domain experts in the development of WSAN applications, without requiring specific knowledge of programming WSAN platforms. In addition, it allows network experts to focus on the specific characteristics of their area of expertise without the need of knowing each specific application domain.

show abstract

“…The answers to these questions were obtained through the assessment of the metrics defined for the controlled experiment (see Sect. 3 …”

Section: Questionsmentioning

confidence: 97%

Section: Platform-independent Meta-modelmentioning

confidence: 99%

An approach based on the domain perspective to develop WSAN applications

et al. 2015

View full text Add to dashboard Cite

show abstract

“…Several efforts specific to wireless sensor networks (WSN) have appeared in the literature [4][6][8] [9]. The focus of these efforts is to understand and model the network communication characteristics of a WSN to define the corresponding network level QoS.…”

Section: Multidimensional Qos Metricsmentioning

confidence: 99%

Orchestrating Quality of Service in the Cloud of Things Ecosystem

Jayaraman¹,

Mitra²,

Saguna³

et al. 2015

2015 IEEE International Symposium on Nanoelectronic and Information Systems

View full text Add to dashboard Cite

Abstract-Cloud of Things (CoT) is a vision inspired byInternet of Things (IoT) and cloud computing where the IoT devices are connected to the clouds via the Internet for data storage, processing, analytics and visualization. CoT ecosystem will encompass heterogeneous clouds, networks and devices to provide seamless service delivery, for example, in smart cites. To enable efficient service delivery, there is a need to guarantee a certain level of quality of service from both cloud and networks perspective. This paper discusses the Cloud of Things, cloud computing, networks and new quality of service management research issues arising due to realisation of CoT ecosystem vision.

show abstract

“…To assess the performance of SES, we have chosen different metrics of interest, which are usually observed in studies of reference such as Basaran 2009) with the objective of analyzing the behavior/quality of the end-to-end communications. The simulation results shown in Figures 3, 4, and 5 are throughput (bandwidth utilization), latency (average delay), jitter (average deviation from the messages latency), message 2012, 2012:198 Page 8 of 23 http://jis.eurasipjournals.com/content/2012/1/198 delivery ratio (percentage of messages delivered at sink successfully), and a routing-node lifetime achieved from 40 independent simulations (95% confidence intervals).…”

Section: Performance Evaluation Of Sesmentioning

confidence: 99%

On the synchronization of IEEE 802.15.5 wireless mesh sensor networks: Shortcomings and improvements

García-Sánchez

García‐Sánchez

Rodenas-Herráiz

2012

J Wireless Com Network

View full text Add to dashboard Cite

As part of the recent IEEE 802.15.5 wireless mesh sensor networks (WMSN) standard, Synchronous Energy Saving (SES) is planned to provide energy savings to scheduled communications with strict temporal requirements that, a priori, facilitate the development of delay-sensitive applications. It is accomplished by means of different mechanisms, among which we highlight a straightforward synchronization process. However, the SES synchronization scheme introduces variable delays in the dissemination of information and reduces the lifetime of the nodes and the entire network significantly, thus limiting the full exploitation of SES. This article presents a new synchronization approach, that we call High-Performance Synchronization Algorithm for wireless mesh sensor networks (HIPESYN), which is adapted to the IEEE 802.15.5 standard for synchronous communications. HIPESYN supports intensive bandwidth applications in a much better way than with the original design. The proposed algorithm is also thoroughly evaluated and its results carefully discussed.

show abstract

Quality of Service in Wireless Sensor Networks

Cited by 19 publications

References 14 publications

An approach based on the domain perspective to develop WSAN applications

An approach based on the domain perspective to develop WSAN applications

Orchestrating Quality of Service in the Cloud of Things Ecosystem

On the synchronization of IEEE 802.15.5 wireless mesh sensor networks: Shortcomings and improvements

Contact Info

Product

Resources

About