scholarly journals Advanced Resources Reservation in Mobile Cellular Networks: Static vs. Dynamic Approaches under Vehicular Mobility Model

Telecom ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 302-327
Author(s):  
Peppino Fazio ◽  
Mauro Tropea
Keyword(s):  
Bandwidth Allocation ◽  
Dynamic Networks ◽  
Mobility Model ◽  
User Mobility ◽  
Prediction Errors ◽  
Mobile Nodes ◽  
System Utilization ◽  
Mobile Cellular ◽  
Average System ◽  
Probability Number

Many studies in literature have shown that the bandwidth of an ongoing flow can dynamically change during multimedia sessions and an efficient bandwidth allocation scheme must be employed. This paper focuses its attention on the management of predictive services in Wireless Infrastructure Dynamic Networks. In particular, two classes of service are considered: NSIS-Mobility Independent Predictive and NSIS-Mobility Dependent Predictive, where NSIS is the Next Steps in Signaling protocol, employed for resources reservation in Integrated Services architectures. A general prediction technique is proposed, based both on the analysis of time spent into a cell by mobile nodes and on the probabilities of hand-in and hand-out events of mobile nodes from wireless cells. User mobility needs to be firstly analyzed and a novel realistic mobility model has been considered, differently from some existing works in which synthetic mobility is generated. The analysis of user mobility is mandatory when the reduction of passive resource reservations for NSIS-MIP users is desired, with a good enhancement in system utilization. Moreover, predictive reservation and admission control schemes have been integrated. The performance of the 2D wireless system is evaluated in terms of average system utilization, system outage probability, number of admitted flows and reservation prediction errors. We provided to carry out an extensive simulation campaign, in order to assess the goodness of the proposed idea: we verified that good results (in terms of perceived utility, bandwidth and admitted flows) can be obtained, outperforming also some existing works.

The Robustness of RM-DSR Multipath Routing Protocol with Different Network Size in MANET

2013 ◽  
Vol 5 (2) ◽  
pp. 46-57
Author(s):  
Naseer Ali Husieen ◽  
Suhaidi Hassan ◽  
Osman Ghazali ◽  
Lelyzar Siregar
Keyword(s):  
Routing Protocol ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Mobility Model ◽  
Network Size ◽  
Delivery Ratio ◽  
Network Simulator ◽  
Mobile Nodes ◽  
Route Maintenance ◽  
Dynamic Source

This paper evaluates the performance of Reliable Multipath Dynamic Source Routing Protocol (RM-DSR) protocol with different network size compared to DSR protocol. RM-DSR developed in the mobile ad-hoc network to recover from the transient failure quickly and divert the data packets into a new route before the link is disconnected. The performance of RM-DSR protocol is tested in the Network Simulator (NS-2.34) under the random way point mobility model with varying number of mobile nodes. The network size parameter is used to investigate the robustness and the efficiency of RM-DSR protocol compared to DSR protocol. The network size affects the time of the route discovery process during the route establishment and the route maintenance process which could influence the overall performance of the routing protocol. The simulation results indicate that RM-DSR outperforms DSR in terms of the packet delivery ratio, routing overhead, end-to-end delay, normalized routing load and packet drop.

A dynamic technique to enhance quality of service in software-defined network-based wireless sensor network (DTEQT) using machine learning

2019 ◽  
Vol 18 (01) ◽  
pp. 1941020
Author(s):  
S. Ananth ◽  
A. M. Kalpana ◽  
R. Vijayarajeswari
Keyword(s):  
Quality Of Service ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Dynamic Networks ◽  
Dynamic Network ◽  
Wireless Sensor ◽  
Software Defined Network ◽  
Mobile Nodes ◽  
Energy Constrained

Wireless Sensor Network (WSN) is the interconnection between things or objects embedded with hardware and software. In WSN, small end devices (like sensors) and high end devices (like servers) are connected to the Internet. For WSN enabled in Software-Defined Network (SDN), the routers are controlled using a controller server node. It is a dynamic network due to the presence of mobile nodes and energy constrained nodes. The routing is the process of detecting route from source to target. In dynamic networks like WSN, routing is a challengeable task. This paper is to provide a routing solution for backboneless SDN-enabled WSN. The proposed work enhances routing Quality of Service (QoS) in WSN. The paths are dynamically reallocated to reduce the packet loss.

A hotspot attraction driven user mobility model and direction deciding algorithm

2010 ◽  
Author(s):  
Hao Guo ◽  
Zhipeng Gao ◽  
Heng Zhang ◽  
Zhili Guan ◽  
Xingyu Chen ◽  
...  
Keyword(s):  
Mobility Model ◽  
User Mobility

scholarly journals Link-state QoS routing protocol under various mobility models

2019 ◽  
Vol 16 (2) ◽  
pp. 906
Author(s):  
Safaa Laqtib ◽  
Khalid El Yassini ◽  
Moulay Lahcen Hasnaoui
Keyword(s):  
Steady State ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Mobility Model ◽  
Delivery Ratio ◽  
Mobility Models ◽  
Mobile Nodes ◽  
Link State ◽  
Random Waypoint

<p>Mobile Ad Hoc Network (MANET) consists of a group of mobile or wireless nodes that are placed randomly and dynamically that causes the continual change between nodes. A mobility model attempts to mimic the movement of real mobile nodes that change the speed and direction with time. The mobility model that accurately represents the characteristics of the mobile nodes in an ad hoc network is the key to examine whether a given protocol. The aim of this paper is to compare the performance of four different mobility models (i.e. Random Waypoint, Random Direction, Random walk, and Steady-State Random Waypoint) in MANET. These models were configured with Optimized Link State Routing (OLSR) protocol under three QoS (Quality of Service) <a title="Learn more about Metrics" href="https://www.sciencedirect.com/topics/engineering/metrics">metrics</a> such as the Packet Delivery Ratio (PDR), Throughput, End-to-End delay. The simulation results show the effectiveness of Steady-State Random Waypoint Mobility Models and encourage further investigations to extend it in order to guarantee other QoS requirements.</p>

scholarly journals A Novel Group Mobility Model for Software Defined Future Mobile Networks

2021 ◽  
Author(s):  
Sureshkumar A ◽  
Surendran D
Keyword(s):  
Mobile Networks ◽  
Packet Loss ◽  
Transition Probabilities ◽  
Research Work ◽  
Mobility Model ◽  
Mathematical Framework ◽  
Mobile Nodes ◽  
Network Efficiency ◽  
Group Mobility ◽  
Signaling Cost

Abstract Nowadays, a massive amount of data leads to cause network traffic and inflexible mobility in future mobile networks. A new Group Mobility Model (GMM) named MoMo is introduced that addresses the issue of the aforementioned problems. Even though, software defined network (SDN) is functional with network-rooted mobility protocols that enhance the network efficiency. Some existing network-rooted mobility administration methods still undergo handover delay, packet loss, and high signaling cost through handover processing. In this research work, SDN-based fast handover for GMM is proposed. Here, the neighbor number of evolving node transition probabilities of the mobile node (MN) and their obtainable resource probabilities are estimated. This makes a mathematical framework to decide the preeminent number of the evolving nodes and then allot these to mobile nodes virtually with all associations finished by the exploit of Open-Flow tables. The performance examination demonstrates that the proposed SDN rooted GMM technique has the enhanced performance than the conventional handover process and further technique by handover latency, signaling cost, network throughput, and packet loss.

Sign in / Sign up

Export Citation Format

Share Document