The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Realizing a Ultra-Low Latency M-CORD Model for Real-Time Traffic Settings in Smart Cities
|
Author(s): Kathiravan Srinivasan (Vellore Institute of Technology, Vellore, India), Aswani Kumar Cherukuri (Vellore Institute of Technology, Vellore, India), Senthil Kumaran S. (Vellore Institute of Technology, Vellore, India)and Tapan Kumar Das (Vellore Institute of Technology, Vellore, India)
Copyright: 2021
Pages: 13
Source title:
Innovations in the Industrial Internet of Things (IIoT) and Smart Factory
Source Author(s)/Editor(s): Sam Goundar (British University Vietnam, Vietnam), J. Avanija (Sree Vidyanikethan Engineering College, India), Gurram Sunitha (Sree Vidyanikethan Engineering College, India), K. Reddy Madhavi (Sree Vidyanikethan Engineering College, India)and S. Bharath Bhushan (Sree Vidyanikethan Engineering College, Tirupati, India)
DOI: 10.4018/978-1-7998-3375-8.ch007
Purchase
|
Abstract
At present, the need for an ultra-high speed and efficient communication through mobile and wireless devices is gaining significant popularity. The users are expecting their network to offer real-time streaming without much latency. In turn, this will result in a considerable rise in network bandwidth utilization. The live streaming has to reach the end users mobile devices after traveling through the base station nodes, core network, routers, switches, and other equipment. Further, this will lead to a scenario of content latency and thereby causing the rejection of the mobile devices users' request due to congestion of the network and mobile service providers' core network witnessing an extreme load. In order to overcome such problems in the contemporary 5G mobile networks, an architectural framework is essential, which offers instantaneous, ultra-low latency, high-bandwidth access to applications that are available at the network edge and also making the task processing in close proximity with the mobile device user.
Related Content
Sandhya Avasthi, Tanushree Sanwal, Shivani Sharma, Shweta Roy.
© 2023.
23 pages.
|
Subha Karumban, Shouvik Sanyal, Madan Mohan Laddunuri, Vijayan Dhanasingh Sivalinga, Vidhya Shanmugam, Vijay Bose, Mahesh B. N., Ramakrishna Narasimhaiah, Dhanabalan Thangam, Satheesh Pandian Murugan.
© 2023.
17 pages.
|
Aditya Saxena, Devansh Chauhan, Shilpi Sharma.
© 2023.
26 pages.
|
Eduardo José Villegas-Jaramillo, Mauricio Orozco-Alzate.
© 2023.
33 pages.
|
Revathi A., Poonguzhali S..
© 2023.
18 pages.
|
Indu Malik, Anurag Singh Baghel.
© 2023.
18 pages.
|
Shanu Sharma, Tushar Chand Kapoor, Misha Kakkar, Rishi Kumar.
© 2023.
24 pages.
|
|
|