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 connected 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.

传感器以各种各样的形式存在于世界各地，例如手机，监控摄像机，智能电视，智能冰箱和血压计。通常，大多数传感器是某些其他系统的一部分，这些系统具有组成网络的类似传感器。其中一种网络由数百万个连接到Internet的传感器组成，这称为物联网（IoT）。随着无线通信技术的进步，多媒体传感器及其网络有望成为物联网的主要组成部分。已经在诸如火灾探测，城市监视，预警系统等不同领域的无线多媒体传感器网络上进行了许多研究。所有这些应用程序都对传感器节点进行定位，并通过实时数据流长时间收集其数据，从而被视为大数据。大数据可能是结构化的也可能是非结构化的，需要存储以进行进一步的处理和分析。分析多媒体大数据是一项艰巨的任务，需要高级建模才能有效地从数据中提取有价值的信息/知识。在这项研究中，我们提出了一个基于图数据库模型的大型数据库模型，用于处理无线多媒体传感器网络生成的数据。我们引入了一个模拟器来生成综合数据，并使用图形模型作为大数据库来存储和查询大数据。为此，我们评估了著名的基于图的NoSQL数据库Neo4j和OrientDB，以及关系数据库MySQL。我们在已实现的模拟器上运行了许多查询实验，以表明无线多媒体传感器网络中用于监视的数据库系统是高效且可扩展的。