Service oriented network architecture for scalable M2M and sensor network services

Matoba, Kazumine; Abiru, Ken-ichi; Ishihara, Takeshi

doi:10.1109/icin.2011.6081099

Cited by 17 publications

(1 citation statement)

References 3 publications

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“…Network virtualization is a significant method to build the service oriented networks. It is possible to separate the network services and physical networks by using virtual networks, and then provide the optimized services based on network requirements [16]. Authors in [16] described the method and target of network virtualization, respectively.…”

Section: Related Workmentioning

confidence: 99%

A Service Oriented Routing Scheme for Internet of Things

Wang

Liang

et al. 2017

2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and I

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Internet of Things (IoT) is being developed rapidly and applied widely in our society. A large number of network nodes with different attributes join in the network and makes the structure of the network rather complex. Traditional research about network routing concentrates on a few network attributes as routing metrics like energy and bandwidth. However, the network performance may be decreased when concentrating on one or few metrics. In this paper, a service oriented routing is proposed based on Polychromatic Sets theory. A scheme of crosslayer design and virtual nodes is applied to improve the network performance. Therefore, the network performance could be balanced on multiple metrics based on the different requirements of application. The simulation results on NS-3 prove that the scheme is effectively able to improve the performance of network when considering multiple network metrics.

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Section: Related Workmentioning

confidence: 99%

A Service Oriented Routing Scheme for Internet of Things

Wang

Liang

et al. 2017

2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and I

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IoTScal‐H : Hybrid monitoring solution based on cloud computing for autonomic middleware‐level scalability management within IoT systems and different SLA traffic requirements

Zyane

Bahiri

Ghammaz

2020

Int J Communication

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SummaryWireless sensor network (WSN) technologies have enabled ubiquitous sensing to intersect many areas of modern day living. The creation of these devices offers the ability to get, gather, exchange, and consume environmental measurement from the physical world in a communicating‐actuating network, called the Internet of Things (IoT). As the number of physical world objects from heterogeneous network environments grows, the data produced by these objects raise uncontrollably, bringing a delicate challenge into scalability management in the IoT networks. Cloud computing is a much more mature technology, offering unlimited virtual capabilities in terms of storage capacity and processing power. Ostensibly, it seems that cloud computing and IoT are evolving independently on their own paths, but in reality, the integration of clouds with IoT will lead to deal with the inability to scale automatically depending on the overload caused by the drastic growth of the number of connected devices and/or by the huge amount of exchanged data in the IoT networks. In this paper, our objective is to promote the scalability management, using hybrid mechanism that will combine traffic‐oriented mechanism and resources‐oriented mechanism, with adaption actions. By the use of autonomic middleware within IoT systems, we seek to improve the monitoring components's architectural design, based on cloud computing‐oriented scalability solution. The intention is to maximize the number of satisfied requests, while maintaining at an acceptable QoS level of the system performances (RTT of the system, RAM, and CPU of the middleware). In order to evaluate our solution performance, we have performed different scenarios testbed experiments. Generally, our proposed results are better than those mentioned as reference.

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