Multimedia Files Transfer Optimization based on Data Flows in Internet of Things with Machine Learning Approach

Internet of Things (IoT) consider a lot of challenges due to high grow in recent years. Of course, this is due to its applications in different areas which is no exception for any network after being dealt with in different areas. One of these challenges is multimedia data routing. Transmitting and receiving these multimedia files in IoT need to using channels for apply data flows or streaming. Therefore, it needs a database for data flows operations which is Block Chains with its high potentials in this research. The routing protocol must also be dynamic so that it can transmit and receive multimedia data as well as channel state estimation. Therefore, the RPL protocol used in this approach for routing which needs to be optimized due to high energy consumption and inadequate quality of services criteria during data flows and streaming. RPL protocol creates a search space for intelligent algorithms to optimize it. The Artificial Immune System (AIS) algorithm is considered as a congested and evolved algorithm. This article propose a method for optimizing multimedia data transmitting and data streams/flows in Block Chains-IoT platform which used optimized RPL protocol with Artificial Immune System (AIS) algorithm in terms of energy consumption and quality of services includes Bit Error Rate (BER), delay and throughput.

کلیدواژه ها:

Internet of Things (IoT) ، Multimedia Data ، RPL Protocol ، Artificial Immune System (AIS) algorithm ، Block Chains