A Novel Wireless Sensor Network Architecture Based on Cloud Computing and Big Data

Song, Changtong

doi:10.3991/ijoe.v13i12.7890

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…In this research area, most work is conducted by proposing either network architectures or communication protocols. First, the authors propose structural construction of the WSN based on big data processing called service-oriented architecture and virtualization cloud for WSN (SVC4WSN) [23] and simulates it numerically through comparison with multi-hop direct forwarding for local wireless sensor network (MDF4LWSN) architecture. The SVC4WSN consists of four layers: a large-scale WSN, gateway, cloud center, and users (as shown in Figure 5).…”

Section: Technical Approaches To Wsn-based Big Data Systemsmentioning

confidence: 99%

Wireless Sensor Networks for Big Data Systems

Kim

Shah

et al. 2019

Sensors

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Before discovering meaningful knowledge from big data systems, it is first necessary to build a data-gathering infrastructure. Among many feasible data sources, wireless sensor networks (WSNs) are rich big data sources: a large amount of data is generated by various sensor nodes in large-scale networks. However, unlike typical wireless networks, WSNs have serious deficiencies in terms of data reliability and communication owing to the limited capabilities of the nodes. Moreover, a considerable amount of sensed data are of no interest, meaningless, and redundant when a large number of sensor nodes is densely deployed. Many studies address the existing problems and propose methods to overcome the limitations when constructing big data systems with WSN. However, a published paper that provides deep insight into this research area remains lacking. To address this gap in the literature, we present a comprehensive survey that investigates state-of-the-art research work on introducing WSN in big data systems. Potential applications and technical challenges of networks and infrastructure are presented and explained in accordance with the research areas and objectives. Finally, open issues are presented to discuss promising directions for further research.

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Section: Technical Approaches To Wsn-based Big Data Systemsmentioning

confidence: 99%

Wireless Sensor Networks for Big Data Systems

Kim

Shah

et al. 2019

Sensors

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Data Processing and Management in IoT and Wireless Sensor Network

Sasirekha

priya

Anita

et al. 2020

J. Phys.: Conf. Ser.

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The deployment of internet over larger scale may introduce huge challenges based on data processing. The enormous amount of IoT based data needs design-based solution for faster data processing and improving its extensibility and adaptability. Based on various IoT based data processing, servicing technologies may provide data-centric models for scalable services. This work concentrates on an extensive review towards the scalable realization and acquisition of data for process. This IoT based services are larger enough to be concentrated. This review gives an insight towards the data processing and management in IoT and sensor-based networking.

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IoT-Based Smart Home Process Management Using a Workflow Approach

Ouldkablia

Kechar

Bouzefrane

2020

International Journal of Information Technology and Web Engineering

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The new concept of the Internet of Things (IoT) is bringing new forms of knowledge and applications that rely on smart objects able to sense and process the collected data on a remote workflow server in the perspective to generate automated decisions. In this context, one of the main problems is how to schedule the data flow circulating between objects, and between objects applications. The cooperation between these objects is a promising solution to meet this challenge. Business process management (BPM) is the most adapted way to carry out data management thanks to workflow processes. To this end, a new semantics operator which the authors call a gateway for intelligent process scheduling of IoT (GIPSIT) is proposed as a semantic gateway enabling the management of data flows circulating between the connected objects of IoT. The researchers validate their approach based on GIPSIT operator by implementing a realistic eHealth based-scenario in a Smart Home. The obtained findings showed clearly the importance of this new operator in the context of IoT.

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A Novel Wireless Sensor Network Architecture Based on Cloud Computing and Big Data

Cited by 3 publications

References 9 publications

Wireless Sensor Networks for Big Data Systems

Wireless Sensor Networks for Big Data Systems

Data Processing and Management in IoT and Wireless Sensor Network

IoT-Based Smart Home Process Management Using a Workflow Approach

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