Abstract
Internet of Things (IoT) is a new paradigm that is providing enormous services for the innovative technical advances by the researchers. There are so many IoT applications that integrate the physical objects using internet and transfer the collected data over the network without human assistance. Further the collected data by the embedded devices in the objects is analyzed to take important decisions which help the society to use these applications in the different types of services. However, still there is lot of scope to deal with the various problems and apply IoT in the different fields to maximize automation. Transportation is one of such area that determines the safety and quality of life of the people in the society. Due to population growth and development of technology, the demand for the vehicles in the transportation has been increasing continuously. This has attracted the researchers to contribute from different aspects by developing relevant applications and business models to make the transportation smart. The usage of IoT devices has increased the volume of the data and there is need to make this quantitative data as qualitative by using it to make the applications intelligent. So, by applying machine learning (ML) techniques, these applications are becoming intelligent and capable of producing better results by addressing the issues in traffic management and providing safety to the residents. Many researchers have shown keen interest in such techniques and their approaches have helped to find the solution for relevant issues. This paper provides the readers an overview of the IoT technology and application of the ML algorithms proposed by various authors. The focus is that the future researchers can identify the open issues and challenges and adopt various means to work beyond that. In this paper there is an introduction of development of new applications that have used the data from IoT devices thus providing meaningful outcome and make the things intelligent via ML algorithms.
Highlights
Internet of Things (IoT) is a new model which refers to the ever-growing network of physical things that carry an Internet Protocol (IP) address to be identified and connected to internet and provides a set of new services by communicating with the other internet enabled devices and systems
We are still in initial stages, where the meaning of IoT is being taken as per individual’s vision and requirements[1,2]. This is the reason that there is no universal definition of IoT and we do hear of various terms that may be used for IoT like Web of Things (WoT), Machine to Machine (M2M), Cloud of Things (CoT) etc
As per the different proposed algorithms, the researchers have contributed a lot to make the transportation smart by using the data collected from the IoT devices and applying machine learning (ML) algorithms on it
Summary
The fog nodes are having the capabilities of handling big data by providing the storage, computing and network required for such applications Further this data stored in the various cloud nodes can be accessed for advance analysis and this can be done by using various ML techniques and sharing the same among other devices. It will help in the creation of new smart applications. A days most of the homes are equipped with various appliances, such as refrigerators, washing machines, microwaves, smart TVs, LED bulbs, and other different type of electronic gadgets These gadgets have the capabilities of transferring the data and can communicate with authorized users through internet. The IoT nodes may possess the capability of preprocessing the data and computing some basic tasks
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