scholarly journals Tunnel-Free Distributed Mobility Management (DMM) Support Protocol for Future Mobile Networks

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1519
Author(s):  
Madeeha Aman ◽  
Saeed Mahfooz ◽  
Muhammad Zubair ◽  
Neelam Mukhtar ◽  
Kanwal Imran ◽  
...  
Keyword(s):  
Mobility Management ◽  
Packet Loss ◽  
Network Architecture ◽  
Blocking Probability ◽  
Data Packet ◽  
Management Support ◽  
Core Network ◽  
Mobile Nodes ◽  
Handover Latency ◽  
Distributed Mobility Management

The number of wireless services and devices have remarkably increased, especially since the introduction of smart phones. The population of mobile nodes (MNs) is now exceeding the traditional non-mobile nodes. Mobility is a key factor in mobile core networks as it is responsible for providing continuous communication when a MN is on the move. Currently, a centralized mobile core network architecture is implemented, which has certain limitations. Distributed mobility management (DMM) is often seen as a solution to the problems associated with centralized mobility management (CMM). Address and tunneling management are big challenges for current DMM-based mobility protocols. Keeping in mind the current advancement of mobile network architecture, this paper proposes a novel tunnel-free distributed mobility management support protocol intended for such an evolution. In addition, the performance of the existing DMM IPv6 mobility management protocols in the context of handover latency, handover blocking probability, and data packet loss is analyzed and compared to the proposed framework. The performance analyses show that the proposed tunnel-free method can reduce about 12% of handover latency, 71% of handover blocking probability, and 82% of data packet loss.

scholarly journals Experimental Evaluation of a SDN-DMM Architecture

2018 ◽  
Vol 10 (2) ◽  
pp. 52
Author(s):  
Rodrygo T. Cordova ◽  
Paulo R.L. Gondim ◽  
Jaime Lloret ◽  
Jose M. Jimenez
Keyword(s):  
Mobility Management ◽  
Packet Loss ◽  
Network Architecture ◽  
Future Generation ◽  
Access Networks ◽  
Software Defined Network ◽  
Distributed Mobility Management ◽  
Separate Control ◽  
Ip Flows ◽  
Heterogeneous Access Networks

Mobility management has become a great challenge due to the exponential growth in the number of devices that can connect to home or visited networks, and the need for providing seamless mobility in future generation networks. SDN-DMM (Software Defined Network Architecture for Distributed Mobility Management) architecture has been proposed [11], allowing to separate control and data planes, for the distributed mobility management through bidirectional IP flows. This article reports on aspects related to the implementation of SDN-DMM, conducted with metrics as packet loss, throughput and handover latency, considered in a comparison involving traditional routing and SDN-DMM. The results show the SDN approach not only provides the intrinsic benefits of SDN in comparison with traditional architectures, but also deals with the distributed mode of mobility management in heterogeneous access networks in a simplified and efficient way.

Design and simulation analysis of network-based fully distributed mobility management in flattened network architecture

2016 ◽  
Vol 65 (2) ◽  
pp. 253-267 ◽  
Author(s):  
Muayad Khalil Murtadha ◽  
Nor Kamariah Noordin ◽  
Borhanuddin Mohd Ali ◽  
Fazirulhisyam Hashim
Keyword(s):  
Mobility Management ◽  
Network Architecture ◽  
Simulation Analysis ◽  
Distributed Mobility Management

scholarly journals A Fog Computing-Based Device-Driven Mobility Management Scheme for 5G Networks

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6017
Author(s):  
Sanjay Kumar Biswash ◽  
Dushantha Nalin K. Jayakody
Keyword(s):  
Cellular Networks ◽  
Mobility Management ◽  
Network Architecture ◽  
Communication Systems ◽  
Fog Computing ◽  
Next Generation ◽  
Mobile Nodes ◽  
Network Computing ◽  
Management Procedure

The fog computing-based device-driven network is a promising solution for high data rates in modern cellular networks. It is a unique framework to reduce the generated-data, data management overheads, network scalability challenges, and help us to provide a pervasive computation environment for real-time network applications, where the mobile data is easily available and accessible to nearby fog servers. It explores a new dimension of the next generation network called fog networks. Fog networks is a complementary part of the cloud network environment. The proposed network architecture is a part of the newly emerged paradigm that extends the network computing infrastructure within the device-driven 5G communication system. This work explores a new design of the fog computing framework to support device-driven communication to achieve better Quality of Service (QoS) and Quality of Experience (QoE). In particular, we focus on, how potential is the fog computing orchestration framework? How it can be customized to the next generation of cellular communication systems? Next, we propose a mobility management procedure for fog networks, considering the static and dynamic mobile nodes. We compare our results with the legacy of cellular networks and observed that the proposed work has the least energy consumption, delay, latency, signaling cost as compared to LTE/LTE-A networks.

scholarly journals MM-PNEMO: a mathematical model to assess handoff delay and packet loss

2019 ◽  
Vol 8 (2) ◽  
pp. 611-621
Author(s):  
Shayla Islam ◽  
Aisha Hassan Abdalla Hashim ◽  
Mohammad Kamrul Hasan ◽  
Md. Abdur Razzaque
Keyword(s):  
Mathematical Model ◽  
Mobility Management ◽  
Packet Loss ◽  
Performance Metrics ◽  
Loss Ratio ◽  
Wireless Access Networks ◽  
Mobile Nodes ◽  
Packet Loss Ratio ◽  
Processing Power ◽  
Handoff Delay

Wireless networks incorporate Mobile Nodes (MNs) that use wireless access networks to communicate. However, the communication among these MNs are not remained stable due to the poor network coverage during inter mobility. Moreover, the wireless nodes are typically small that results in resource-constrained. Thus, it is uphill to use algorithms having giant processing power or memory footprint. Accordingly, it is essential to check schemes consistently to evaluate the performance within the probable application scenario. To do so, numerical analysis could be a notable method to grasp the performance of mobility management schemes as well as the constraint of evolving mobility management solutions specifically for multi-interfaced MR in Proxy NEMO environment. This paper analyzes handoff performance by using a mathematical model of Multihoming-based scheme to support Mobility management in Proxy NEMO (MM-PNEMO) environment. Moreover, a comparative study has been made among the standard Network Mobility Basic Support Protocol (NEMO BSP), Proxy NEMO (PNEMO) and MM-PNEMO scheme respectively. The performance metrics estimated for these schemes are mainly handoff delay and packet loss. This paper also analysed the packet loss ratio and handoff gain as a function of cell radius, number of SMR and velocity respectively. It is apparent that, the MM-PNEMO scheme shows lower packet loss ratio (1%) compared to NEMO-BSP (11%) and P-NEMO (6%).

scholarly journals Performance Analysis of Frame Relay Network Using OSPF (Open Shortest Path First) and MPLS (Multi-Protocol Label Switching) based on GNS3

2017 ◽  
Vol 1 (02) ◽  
pp. 1
Author(s):  
Andi Harits ◽  
Moch. Fahru Rizal ◽  
Periyadi Periyadi
Keyword(s):  
Packet Loss ◽  
Network Architecture ◽  
Relay Network ◽  
Core Network ◽  
Average Delay ◽  
Multi Protocol Label Switching ◽  
Robust Network ◽  
Network Quality ◽  
Site Network ◽  
Frame Relay

enterprise networks. This research focuses on combining advantages from Frame Relay, MPLS and OSPF into a modeled multi-site network. The combination is compared to th original OSPF network and analyzed for its throughput, packet loss, and delay. To meet the demand for efficient and resilient network, and to emphasize the advantages of MPLS-OSP as well as to avoid traffic shifting, specific network topology models are applied: full mesh with virtual circuit in core network connected to OSPF nodes for the rest. From analysis and comparison of network quality values obtained at, this combination attests to be reliable and robust network architecture without trading off its efficiency. The average throughput value of the combination networks was 18.47 bps, which is better compared to the OSPF. The average delay and packet loss from combination network also show better results, which are 59.90ms and 2.01% respectively. The results shows that the combination of Frame Relay, OSPF andMPLS generates better performance as well as significant improvement in networksecurity.

A Review on 3GPP 5G Security Aspects

2019 ◽  
Author(s):  
Rajavelsamy R ◽  
Debabrata Das
Keyword(s):  
Network Architecture ◽  
Base Station ◽  
Cellular Systems ◽  
Core Network ◽  
User Privacy ◽  
Wireless Backhaul ◽  
Level Of Use ◽  
Unified Authentication ◽  
3Rd Generation Partnership Project ◽  
5G Security

5G promises to support new level of use cases that will deliver a better user experience. The 3rd Generation Partnership Project (3GPP) [1] defined 5G system introduced fundamental changes on top of its former cellular systems in several design areas, including security. Unlike in the legacy systems, the 5G architecture design considers Home control enhancements for roaming customer, tight collaboration with the 3rd Party Application servers, Unified Authentication framework to accommodate various category of devices and services, enhanced user privacy, and secured the new service based core network architecture. Further, 3GPP is investigating the enhancements to the 5G security aspects to support longer security key lengths, False Base station detection and wireless backhaul in the Phase-2 of 5G standardization [2]. This paper provides the key enhancements specified by the 3GPP for 5G system, particularly the differences to the 4G system and the rationale behind the decisions.

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