Data Delivery on Internet of Things: A Survey on Different Technique and Architecture

2018 
The main aim of is to make a world where billions of objects can sense, communicate and share information which is interconnected to each other over public or private Internet Protocol (IP) networks. There is a collection of data regularly by these interconnected objects, which are further analyzed and used to initiate actions which are extremely useful for planning, management and decision making. In world of there are many sensors, devices and computers which are connected with each other via Ethernet, wireless & fiber. Here there are so many heterogeneous networks which take place when any data start travelling from source to destination and during the same time Platforms will have challenges related to data congestion and dropping due to collision. Further there will be some bottle neck or data traffic, been generated due to the connection of lots of devices through internet. There are various architectures and simulation used to describe the data delivery in IoT, vast research effort has been dedicated and a wide range of literature is available for the subject. This paper includes the most recent research approaches, concepts, methodologies, most recent investigation tools and techniques. In this survey paper, carried out to check and summarize the research area through different architecture and technique for data delivery in IoT.
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