Integrating Wireless Sensor Network into Cloud services for real-time data collection

Piyare, Rajeev; Park, Sun; Maeng, Se Yeong; Park, Sang Hyeok; Oh, Seung Chan; Choi, Sang Gil; Choi, Ho Su; Lee, Seong Ro

doi:10.1109/ictc.2013.6675470

Cited by 38 publications

(21 citation statements)

References 8 publications

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“…Previous researches have proved that the merits and the performances of wireless sensor network will be doubled when the architecture is combined with cloud environment [27,32,33]. Cloud environment is also more flexible to be migrated once the university wants to expand the object network and move toward building a smart campus with more smart applications.…”

Section: Cloud Computingmentioning

confidence: 99%

Constructing the Green Campus within the Internet of Things Architecture

Wang

2014

International Journal of Distributed Sensor Networks

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The "Internet of Things" radically changes the view of the "Internet" by embracing every physical object into network. The vision of "IoT" promises to enhance the capabilities of objects and forms a smart environment so that people will benefit from the IoT revolution. As the global population grows, the resources on earth are depleted quickly. In order to have a sustainable earth, governments around the world put a lot of efforts to advocate the reduction of carbon production as well as to emphasize the benefits of reducing the consumption of energy. The proposition has been promoted on campus of educational institutions as well. Smart campus is a trendy application in the paradigm of the IoT. This research adopts the concept of the "Internet of Things" to construct a green campus environment which will realize the idea of energy saving. The architecture of the construction of green campus is established and three application systems have been developed as well. The efforts of this work allow the campus to manage the computer labs and the air conditioners more efficiently. The sensor network will save more energy since data are reported periodically and the analysis will be carried out in time to locate the problems.

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Section: Cloud Computingmentioning

confidence: 99%

Constructing the Green Campus within the Internet of Things Architecture

Wang

2014

International Journal of Distributed Sensor Networks

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“…WoT research initiatives makes it possible for real-world things to communicate, collaborate, and make autonomous decisions where the lack of capabilities of real-world things are substituted by cloud-based services [7]. As a result, researchers have built and modeled platforms and applications for collecting and processing valuable information using Web technologies like HTTP, RESTful Web services, and CoAP increasing the availability of real-world sensory data as Web resources [14], [15], [16]. Similar to HTTP protocol, the CoAP protocol uses a request/response model for communication between client and server.…”

Section: Background and Related Workmentioning

confidence: 99%

From the Internet of Things to the web of things — enabling by sensing as-a service

Mathew

Atif

Barachi

2016

2016 12th International Conference on Innovations in Information Technology (IIT)

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Abstract-Sensing as a Service (SenaaS) is emerging as a prominent element in the middleware linking together the Internet of Things (IoT) and the Web of Things (WoT) layers of future ubiquitous systems. An architecture framework is discussed in this paper whereby things are abstracted into services via embedded sensors which expose a thing as a service. The architecture acts as a blueprint to guide software architects realizing WoT applications. Web-enabled things are eventually appended into Web platforms such as Social Web platforms to drive data and services that are exposed by these things to interact with both other things and people, in order to materialize further the future social Web of Things. A case study is discussed to illustrate the integration of SenaaS into the proposed WoT architectural framework.

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“…Based on inequations (24) and (25), we have derived the following two constraints to meet the probabilistic guarantee in inequation (21), i.e.,…”

Section: Real-time Camera Sensor Selection (Rcss) Rulementioning

confidence: 99%

“…However, most of existing works focus on improving the experience of mobile smartphone users. In addition, although a number of solutions [21][22][23][24][25] regarding how to integrate wireless sensor networks with the clouds have been proposed for better performance, they cannot support complex event monitoring.…”

Section: Introductionmentioning

confidence: 99%

C2EM: cloud-assisted complex event monitoring in wireless multimedia sensor networks

Shen

Bai

et al. 2015

J Wireless Com Network

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This paper addresses the problem of how to provide a more flexible service for complex event monitoring in wireless multimedia sensor networks (WMSNs). In particular, we propose C2EM, a cloud-assisted complex event monitoring architecture that involves scalar sensors, camera sensors, cloudlets, and clouds to leverage computation offloading reliability, service response time, coverage efficiency, and energy efficiency. On clouds, we design an opportunistic service access point selection scheme that provides quality of service (QoS) supports for scalar sensor computation offloading. Meanwhile, clouds are responsible for optimizing camera sensor utilization of the whole network. On cloudlets, we design a real-time camera actuation scheme with the objective of minimizing the possible coverage overlaps while providing probabilistic guarantee in residual energy. Through computation division, most complex computations and network environment profilers are executed on cloudlets or clouds. Sensors only need to carry out very simple operations. We evaluate the performance of C2EM through simulations under a complex event scenario. The results demonstrate that C2EM can enhance complex event monitoring performance with optimized energy efficiency, desirable event coverage quality, and potential adaptability to the dynamics of complex events.

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Integrating Wireless Sensor Network into Cloud services for real-time data collection

Cited by 38 publications

References 8 publications

Constructing the Green Campus within the Internet of Things Architecture

Constructing the Green Campus within the Internet of Things Architecture

From the Internet of Things to the web of things — enabling by sensing as-a service

C2EM: cloud-assisted complex event monitoring in wireless multimedia sensor networks

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