Computers and Electrical Engineering 67 (2018) 291–308 Contents lists available at ScienceDirect Computers and Electrical Engineering journal homepage: www.elsevier.com/locate/compeleceng An enhanced framework for multimedia data: Green transmission and portrayal for smart traffic system  Muhamad Munwar Iqbal a , Muhammad Tahir Mehmood a , Sohail Jabbar b , Shehzad Khalid c , Awais Ahmad c,∗ , Gwanggil Jeon d,e,∗ a Department of Computer Science, University of Engineering and Technology, Taxila, Pakistan b Department of Computer Science, National Textile University, Faisalabad, Pakistan c Department of Computer Science, Bahria University, Islamabad, Pakistan d Department of Embedded Systems Engineering, Incheon National University, Incheon, Republic of Korea e School of Electronic Engineering, Xidian University, Shaanxi, China a r t i c l e i n f o Article history: Received 3 October 2017 Revised 13 March 2018 Accepted 14 March 2018 Keywords: Internet of thing Big data Cloud computing Green transmission Artificial Neural Network Object tracking a b s t r a c t The object tracking in video surveillance for intelligent traffic handling in smart cities re- quires an enormous amount of data called big data to be transmitted over the network using the Internet of Things. Manual monitoring and surveillance are impossible because traditional computer vision technologies are no more useful for massive processing and intelligent decision making. In this paper, a framework is proposed which enables both on spot data processing and intelligent decision making by using cloud computing. The de- veloped application is a trained on Artificial Neural Network, which can handle different traffic techniques with congested traffic scenario and priorities traffic such as ambulance handling. The Message Queue Telemetry Transport protocol is used for green transmission with mobile access to traffic data. The results analyzed with thirty videos processed data which handle real-time data prioritization for the people for smart surveillance to fastest route and enhance the intelligent data transmission. © 2018 Elsevier Ltd. All rights reserved. 1. Introduction Internet of things was firstly used by Kevin Ashton in 1999 for supply chain management, but in past decades this term also covers other applications like healthcare, transport and everything of our daily life. The definition of ‘things’ has changed with the evolution of technology, but the goal of making such computer which sense information without inter- action of humans remains same. Evolution of internet into a massive network of interconnected ‘things’ that extract infor- mation from the atmosphere and interact with the world, but it also provides services by using existing Internet standards for data transmission, analysis, and ease of life. It has stepped forward for transferring the current internet into a future Internet of interconnected objects. The revolution of the web has led to a wide-scale of connection among people. Next revolution will be a connection between objects to create a smart internet. Currently, have 10 billion devices connected to the internet, and expecting 14 billion more by 2020. Mobile operators can generate approximately $1.5 trillion revenue from health, automotive, utilities, and electronics [1].  Reviews processed and recommended for publication to the Editor-in-Chief by Associate Editor Dr. Huimin Lu. ∗ Corresponding authors. E-mail addresses: aahmad.marwat@gmail.com (A. Ahmad), ggjeon@gmail.com (G. Jeon). https://doi.org/10.1016/j.compeleceng.2018.03.021 0045-7906/© 2018 Elsevier Ltd. All rights reserved.