A SURVEY ON IoT PERFORMANCES IN BIG DATA

The Internet of things (IoT) is the inter-networking of physical devices, vehicles (also referred to as "connected devices" and "smart devices"), buildings, and other items embedded with electronics, software, sensors, actuators, and network connectivity which enable these objects to collect and exchange data. [1][2][3] The IoT allows objects to be sensed or controlled remotely across existing network infrastructure, [4] creating opportunities for more direct integration of the physical world into computer-based systems, and resulting in improved efficiency, accuracy and economic benefit in addition to reduced human intervention. The upcoming IoT will be greatly presented by the enormous quantity of heterogeneous networked embedded devices that generate intensively "Big data". Enormously a large amount of data is being collected today by many organizations and in a continuous raise. It turns out to be computationally inefficient to analyze such a massive data. The quantity of the available raw data has been expanding on an exponential scale. In a massive database, the valuable information is hidden. The new developed Big data techniques can handle many challenges that face data analysis and have the ability to extract valuable information. This survey shows the study of IoT and Big data. The survey discusses Big data on IoT and how it is created. Many IoT existing, future application and a variety of IoT technologies whether wired or wireless are viewed. Challenges and techniques that solve these issues are discussed and the architecture of IoT is observed. Index Terms Big Data, Internet of Things (IoT), Heterogeneous data, IoT architecture, IoT applications.