A Novel Architecture Based on Cloud Computing for Wireless Sensor Network

Sensors are present in various forms all around the world such as mobile phones, surveillance cameras, smart televisions, intelligent refrigerators and blood pressure monitors. Usually, most of the sensors are a part of some other system with similar sensors that compose a network. One of such networks is composed of millions of sensors connect to the Internet which is called Internet of things (IoT). With the advances in wireless communication technologies, multimedia sensors and their networks are expected to be major components in IoT. Many studies have already been done on wireless multimedia sensor networks in diverse domains like fire detection, city surveillance, early warning systems, etc. All those applications position sensor nodes and collect their data for a long time period with real-time data flow, which is considered as big data. Big data may be structured or unstructured and needs to be stored for further processing and analyzing. Analyzing multimedia big data is a challenging task requiring a high-level modeling to efficiently extract valuable information/knowledge from data. In this study, we propose a big database model based on graph database model for handling data generated by wireless multimedia sensor networks. We introduce a simulator to generate synthetic data and store and query big data using graph model as a big database. For this purpose, we evaluate the well-known graph-based NoSQL databases, Neo4j and OrientDB, and a relational database, MySQL. We have run a number of query experiments on our implemented simulator to show that which database system(s) for surveillance in wireless multimedia sensor networks is efficient and scalable.

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“…Peng et al [16] propose a wireless sensor network in which sink node is replaced by a cloud. They called sink point instead of gateway.…”

Section: Sensor Networkmentioning

confidence: 99%

Big Data Model Simulation on a Graph Database for Surveillance in Wireless Multimedia Sensor Networks

Küçükkeçeci

Yazıcı

2018

Big Data Research

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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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“…Many frameworks have proposed to integrate WSN and cloud computing in which the data is transmitted from the sensor network to the cloud 3,4 .…”

Section: Introductionmentioning

confidence: 99%

A Data Predication Model for Integrating Wireless Sensor Networks and Cloud Computing

Samarah

2015

Procedia Computer Science

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Cloud computing has been proved to be a promising solution for managing and processing big data by providing a data center centric and efficient algorithms for managing and organizing the data. One of the cloud system's data sources is Wireless Sensor Networks (WSNs). WSNs present a new way of data-stream sources in which data is received periodically from different sensors; resulting in a large amount of data accumulated over a short period. WSNs have limited resources in which a finedetailed data streams lead to exhaustive energy consumption. In this paper, we propose a data prediction model that is built within the sensor nodes and used by the cloud system to generate the data. The purpose of the proposed model is to exempt the sensor nodes from sending a large amount of data and thus reduces the energy consumption of the sensor's battery. We manage to formulate the prediction model as a line equation through two n-dimensional vectors in n-space. Initial results showed that the proposed model will be capable to achieve a better error rate as compared to traditional data prediction techniques.

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A Novel Architecture Based on Cloud Computing for Wireless Sensor Network

Cited by 37 publications

References 15 publications

Big Data Model Simulation on a Graph Database for Surveillance in Wireless Multimedia Sensor Networks

Big Data Model Simulation on a Graph Database for Surveillance in Wireless Multimedia Sensor Networks

Constructing the Green Campus within the Internet of Things Architecture

A Data Predication Model for Integrating Wireless Sensor Networks and Cloud Computing

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