Fog computing–based node‐to‐node communication and mobility management technique for 5G networks. Issue 10 (3rd September 2019)
- Record Type:
- Journal Article
- Title:
- Fog computing–based node‐to‐node communication and mobility management technique for 5G networks. Issue 10 (3rd September 2019)
- Main Title:
- Fog computing–based node‐to‐node communication and mobility management technique for 5G networks
- Authors:
- Babu, S.
Biswash, Sanjay Kumar - Abstract:
- Abstract: In this paper, we present a Fog computing–based node‐to‐node communication architecture for 5G networks. It supports the minimum network infrastructure dependent communication. In order to establish the connection, associated next generation evolve node base station (gNB) imports the required information from nearby Fog servers. The retrieved pieces of information are processed in data analytic units (DAUs). The DAUs are in‐build processing units and closely tie‐up with Fog servers/gNBs. The Fog servers and data analytic units are frequently deployed in the coverage area. They always offer and receive the services from gNBs to establish node‐to‐node communication. A robust mobility management scheme is also proposed for dynamic mobile users to achieve node‐to‐node communication. The signaling cost, energy consumption, delay, and latency are the performance parameters for the proposed work. The numerical and system level simulation results are produced to validate the proposed contributions. We compare the obtained results with 4G/LTE cellular networks in order to check the effectiveness of work. We achieved 26% to 63% of performance improvement as compared to legacy networks w.r.t. listed parameters. Abstract : In this paper, we present a Fog computing‐based node‐to‐node communication architecture for 5G networks. It supports the minimum network infrastructure dependent communication. In order to establish the connection, associated next generation evolve node baseAbstract: In this paper, we present a Fog computing–based node‐to‐node communication architecture for 5G networks. It supports the minimum network infrastructure dependent communication. In order to establish the connection, associated next generation evolve node base station (gNB) imports the required information from nearby Fog servers. The retrieved pieces of information are processed in data analytic units (DAUs). The DAUs are in‐build processing units and closely tie‐up with Fog servers/gNBs. The Fog servers and data analytic units are frequently deployed in the coverage area. They always offer and receive the services from gNBs to establish node‐to‐node communication. A robust mobility management scheme is also proposed for dynamic mobile users to achieve node‐to‐node communication. The signaling cost, energy consumption, delay, and latency are the performance parameters for the proposed work. The numerical and system level simulation results are produced to validate the proposed contributions. We compare the obtained results with 4G/LTE cellular networks in order to check the effectiveness of work. We achieved 26% to 63% of performance improvement as compared to legacy networks w.r.t. listed parameters. Abstract : In this paper, we present a Fog computing‐based node‐to‐node communication architecture for 5G networks. It supports the minimum network infrastructure dependent communication. In order to establish the connection, associated next generation evolve node base station (gNB) imports the required information from nearby Fog servers. The retrieved pieces of information are processed in data analytic units (DAUs). … (more)
- Is Part Of:
- Transactions on emerging telecommunications technologies. Volume 30:Issue 10(2019)
- Journal:
- Transactions on emerging telecommunications technologies
- Issue:
- Volume 30:Issue 10(2019)
- Issue Display:
- Volume 30, Issue 10 (2019)
- Year:
- 2019
- Volume:
- 30
- Issue:
- 10
- Issue Sort Value:
- 2019-0030-0010-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2019-09-03
- Subjects:
- Telecommunication -- Periodicals
384.05 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1541-8251 ↗
http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2161-3915 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/ett.3738 ↗
- Languages:
- English
- ISSNs:
- 2161-5748
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11872.xml