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

Author(s):  
Sureshkumar A ◽  
Surendran D

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.

Author(s):  
ANKUR PATEL ◽  
Shivendu Dubey ◽  
ASHOK VERMA ◽  
SHARDA PD. PATEL

A mobile ad hoc network (MANET) is a collection of wireless mobile nodes forming a dynamic network Topology without the aid of any existing network infrastructure or centralized administration. Each node participating in the network acts as a host and as a router , means they have to forward packets and identify route as well. Random way point is the most common mobility model in most of the simulation based studies of various MANET routing protocols.The Group Mobility Model has been generated by Impact of Mobility Patterns on Routing in Ad-hoc Network(IMPORTANT). In the present communication, we have analyzed the Packet Delivery Ratio (PDR), Average End to End delay, Average Throughput, Normalized Routing Load (NRL) and number of Drop packets in CBR and TCP traffic models using routing protocols namely AODV and DSDV. Research efforts have focused much in evaluating their performance with same number of nodes but divided in different number of groups. Simulations has been carried out using NS-2 simulator.


2021 ◽  
Vol 56 (5) ◽  
pp. 457-463
Author(s):  
Outazgui Saloua ◽  
Fakhri Youssef

This paper aims to present a detailed study of different mobility models applicable for Wireless Sensor Networks (WSN). Wireless Sensor Networks (WSN) have evolved dramatically in mobile networks, providing the key advantage of offering access to information without considering a user's spatial and topological characteristics. Due to the exponential advancement of the Internet and the development of small handheld devices as a source of connectivity and data sharing, the wireless network has almost exploded over the past few years. As a routing protocol for WSN in different studies, the Ad-hoc On-demand Distance-vector routing protocol (AODV) has shown better performance than different routing protocols. It offers quick adaptation to dynamic link conditions, low processing, low memory overheads, and low network utilization. To develop an optimized routing protocol, in our previous work, we had proposed an enhancement of the AODV routing protocol to increase the performance of the classic AODV protocol by optimizing the energy consumption and automatically maximizing the network lifetime. In this paper, we present a detailed study of mobility models applicable for WSN. We describe various mobility models representing mobile nodes whose movements are independent (individual mobility models) and dependent (group mobility models). Furthermore, we will focus on studying the behavior of our optimized version of AODV that we named RE-AODV with different existing mobility models so that we can, in the end, select the best mobility model. In terms of network efficiency, simulation results in this Work demonstrate that the type of mobility model used makes the difference and influences the behavior of nodes.


2019 ◽  
Vol 8 (2) ◽  
pp. 5111-5116

In this research work, we propose two realistic mobility models named as location based realistic mobility model and route based realistic mobility model. In location based realistic mobility model speed and velocity is updating and route based realistic mobility model implies how many routes are available. With these models the targeted position is set and vehicles are moving according to the same position. Hence the problem of routing is resolved which is encountered in existing realistic mobility model. For implementation of our models, we use open source software named as network simulator NS-3 and traffic simulator MOVE with SUMO. We also compare our models with the existing realistic models in terms of performance matrices: packet loss, throughput and transmission delay. Since the vehicles are moving according to targeted position, so as application aspects we predict accidents and lots of traffic and with the help of prediction we will choose some optimal solutions.


Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 363
Author(s):  
Marina Dolfin ◽  
Leone Leonida ◽  
Eleonora Muzzupappa

This paper adopts the Kinetic Theory for Active Particles (KTAP) approach to model the dynamics of liquidity profiles on a complex adaptive network system that mimic a stylized financial market. Individual incentives of investors to form or delete a link is driven, in our modelling framework, by stochastic game-type interactions modelling the phenomenology related to policy rules implemented under Basel III, and it is exogeneously and dynamically influenced by a measure of overnight interest rate. The strategic network formation dynamics that emerges from the introduced transition probabilities modelling individual incentives of investors to form or delete links, provides a wide range of measures using which networks might be considered “best” from the point of view of the overall welfare of the system. We use the time evolution of the aggregate degree of connectivity to measure the time evolving network efficiency in two different scenarios, suggesting a first analysis of the stability of the arising and evolving network structures.


2021 ◽  
Author(s):  
Yusi Chen ◽  
Ying Lu ◽  
Jin Liu ◽  
Qi Guo ◽  
Nierui Fan ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Moustafa M. Nasralla ◽  
Iván García-Magariño ◽  
Jaime Lloret

The last decade has witnessed a steep growth in multimedia traffic due to real-time content delivery such as in online games and video conferencing. In some contexts, MANETs play a key role in the hyperconnectivity of everything in multimedia services. In this context, this work proposes a new scheduling approach based on context-aware mobile nodes for their connectivity. The contribution relies on reporting not only the locations of devices in the network but also their movement identified by sensors. In order to illustrate this approach, we have developed a novel agent-based simulator called MASEMUL for illustrating the proposed approach. The results show that a movement-aware scheduling strategy defined with the proposed approach has decreased the ratio of channel interruptions over another common strategy in mobile networks.


Author(s):  
Arudra Annepu ◽  
◽  
Priti Mishra ◽  

Wireless network technically, refers to the category of network in which communication is carried out without using wires. In modern era wireless network has great importance because the communication is taking place with the use of radio waves. Thus, the use of ad-hoc network starts yielding a great importance in variety of applications. The certain research work is carried out in this particular field. MANET is a constructed from various mobility in the form of mobile nodes and anytime without any need of fixed infrastructure. MANET can be made on fly due to lack of fixed infrastructure. MANET is numerous threats types of attacks due to dynamic changing topologies and wireless medium. Security of the MANET becomes one of the challenging tasks. Black hole attacks is the main type of attack that are possible in MANET. Black hole node not forward any data packets to the neighbour node instead it drops all the data packets. Black hole attacks are bit hard to detect due to lack of centralized access. This research work concentrates to enhance the security of MANET by identifying and blocking black hole assaults from occurring. A reactive routing system such as Ad-Hoc on Demand Distance Vector has previously been used to address security problems in the MANET (AODV). Various attack types were investigated, and the consequences of these assaults were detailed by describing how MANET performance was disrupted. Network Simulator 3 (NS3) is used for the simulation process.


2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Byungjoo Park ◽  
Ankyu Hwang ◽  
Haniph Latchman

Mobility management is an essential challenge for supporting reliable multimedia data streaming over wireless and mobile networks in the Internet of Things (IoT) for location-based mobile marketing applications. The communications among mobile nodes for IoT need to have a seamless handover for delivering high quality multimedia services. The Internet Engineering Task Force (IETF) mobility management schemes are the proposals for handling the routing of IPv6 packets to mobile nodes that have moved away from their home network. However, the standard mobility management scheme cannot prevent packet losses due to longer handover latency. In this article, a new enhanced data streaming route optimization scheme is introduced that uses an optimized Transmission Control Protocol (TCP) realignment algorithm in order to prevent the packet disordering problem whenever the nodes in the IoT environment are communicating with each other. With the proposed scheme, data packets sequence realignment can be prevented, the packet traffic speed can be controlled, and the TCP performance can be improved. The experimental results show that managing the packet order in proposed new scheme remarkably increases the overall TCP performance over mobile networks within the IoT environment thus ensuring the high quality of service (QoS) for multimedia data streaming in location-based mobile marketing applications.


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