ترجمه مقاله نقش ضروری ارتباطات 6G با چشم انداز صنعت 4.0
- مبلغ: ۸۶,۰۰۰ تومان
ترجمه مقاله پایداری توسعه شهری، تعدیل ساختار صنعتی و کارایی کاربری زمین
- مبلغ: ۹۱,۰۰۰ تومان
The Internet of Things (IoT) has made it possible for devices around the world to acquire information and store it, in order to be able to use it at a later stage. However, this potential opportunity is often not exploited because of the excessively big interval between the data collection and the capability to process and analyse it. In this paper, we review the current IoT technologies, approaches and models in order to discover what challenges need to be met to make more sense of data. The main goal of this paper is to review the surveys related to IoT in order to provide well integrated and context aware intelligent services for IoT. Moreover, we present a state-of-the-art of IoT from the context aware perspective that allows the integration of IoT and social networks in the emerging Social Internet of Things (SIoT) term.
1. Introduction
There are no doubts about how rapidly technology has grown in the last decade. Nowadays, a wide variety of devices, including sensor-enabled smart devices, and all types of wearables, connect to the Internet and power newly connected applications and solutions. On the one hand, the cost of technology has sharply decreased, making it possible for everybody to engage in sensing data. On the other hand, in every area we need to access the Internet, which delivers an amount of real time information. Furthermore, some of the environments are just online, like social media, where all the information is in the Cloud. As a result, new words as well as new expressions have appeared such as Big Data [1,2], Cloud Computing [3] or Internet of Things (IoT) [4–6], among others.
With the recent advances in radio-frequency identification (RFID), low-cost wireless sensor devices, and Web technologies, the IoT approach has gained momentum in connecting everyday objects to the Internet and facilitating machine-to-human and machine-to-machine communication with the physical world.
According to the Gartner Research report on the IoT, billions of connected things are already in use in 2015 and that number will reach 25 billion in just a few short years [7]. In addition, we can appreciate how easily the data can be generated currently to create a huge amount of information (e.g., Smart Cities [8], Business Intelligence [9], IoT [10]), generating big data [11,12].
5. Conclusions
There are a considerable number of reviews about IoT and so far most of them have been conducted focusing on high level general issues. Furthermore, these articles do not specifically cover techniques on data processing and management, which is fundamentally critical to fully embrace IoT. In this paper, we have presented a systematic review of the diverse surveys of IoT. The huge volume of surveys that appear in the literature makes it easy to obtain a general picture of the current state of the art on the IoT but it is more difficult to discover the more promising parts of IoT, which is the key to succeeding when making a decision on IoT.