Message Broadcasting Algorithm Implementation Using Mobile Long Term Evolution and Narrow Band Internet of Things Over Intelligent Transportation System (ITS)

Abstract

Fusion of networking and data mining is an intriguing way to implement an algorithm that will be able to classify and group communication messages in VANET based on whether they are Vehicle to Vehicle (V2V) or Vehicle to Interface (V2I), which will play a significant role in determining the best technology to broadcast those messages using either Mobile Long Term Evolution (LTE-M) or Narrow Band IoT. (NB-IoT). Each LTE-M and NB-IoT has its characteristics and abilities. Moreover, there are significant measures that should be taken into a confederation to help the algorithm make a decision to select the optimal technology. This paper will compare the main features of LTE-M and NB-IoT and suggest a methodology to implement an algorithm that has the ability to broadcast messages over a VENET using the best and most efficient technology in order to manage power consumption and increase the network life cycle in addition to increase the speed of exchanging message.