Rethinking Realistic Wireless Network Mobility

2010 ◽  
pp. 487-497
Author(s):  
Lu Yan
Keyword(s):  
Cognitive Radio ◽  
Mobile Communication ◽  
Ad Hoc ◽  
Mobility Model ◽  
Mobility Models ◽  
Network Mobility ◽  
Design Problems ◽  
Human Movements ◽  
Engineering Design Problems ◽  
Key Features

With recent advances of wireless ad hoc networking, especially opportunistic forwarding and cognitive radio, there is an increasing concern that existing mobility models are insufficient to represent network mobility in real world settings. In this chapter, the author discusses his proposal for a more realistic mobility model which captures key features of human movements in pervasive markets. His findings lead to a non-traditional mobility model which can be used to reconstruct the statistical patterns commonly observed in the literature, and facilitate the study of mobile communication and software engineering design problems under the context of pervasive computing for markets.

Rethinking Realistic Wireless Network Mobility

2012 ◽  
pp. 1799-1810
Author(s):  
Lu Yan
Keyword(s):  
Cognitive Radio ◽  
Mobile Communication ◽  
Ad Hoc ◽  
Mobility Model ◽  
Mobility Models ◽  
Network Mobility ◽  
Design Problems ◽  
Human Movements ◽  
Engineering Design Problems ◽  
Key Features

With recent advances of wireless ad hoc networking, especially opportunistic forwarding and cognitive radio, there is an increasing concern that existing mobility models are insufficient to represent network mobility in real world settings. In this chapter, the author discusses his proposal for a more realistic mobility model which captures key features of human movements in pervasive markets. His findings lead to a non-traditional mobility model which can be used to reconstruct the statistical patterns commonly observed in the literature, and facilitate the study of mobile communication and software engineering design problems under the context of pervasive computing for markets.

scholarly journals A New Mobility Model for Ad Hoc Networks in Disaster Recovery Areas

2017 ◽  
Vol 13 (06) ◽  
pp. 113 ◽  
Author(s):  
Saher Manaseer ◽  
Afnan Alawneh
Keyword(s):  
Ad Hoc Networks ◽  
Mobile Ad Hoc Networks ◽  
Disaster Recovery ◽  
Ad Hoc ◽  
Mobility Model ◽  
Mobility Models ◽  
Mobility Patterns ◽  
Communication Method ◽  
Mobile Ad Hoc ◽  
Hoc Networks

<p class="0keywords"><span lang="EN-GB">Over the last decade, many researchers have focused on Mobile Ad Hoc Networks as the main communication method in disaster recovery situations. In these researches, there has been marginal focus on the mobility patterns of nodes in disaster recovery scenarios. In this paper, a deeper analysis has been performed on some of the main mobility models used in testing new protocols and a new mobility model is proposed to incorporate some neglected factors concerned with disaster recovery situations.</span></p>

Survey on Node Mobility Model for Opportunistic Network

2011 ◽  
Vol 52-54 ◽  
pp. 1253-1257 ◽  
Author(s):  
Ming Xia Yang ◽  
Shuang Xia Han ◽  
Cai Yun Yang ◽  
Lu Zhang ◽  
Dong Fen Ye
Keyword(s):  
Wireless Sensor Networks ◽  
Ad Hoc ◽  
Mobility Model ◽  
Opportunistic Networks ◽  
Wireless Sensor ◽  
Node Mobility ◽  
Mobility Models ◽  
Opportunistic Network ◽  
Research Focus ◽  
Mobile Ad Hoc

Opportunistic networks is one of the newest hot research spots in wireless networks after mobile ad hoc net-works(MANET) and wireless sensor networks(WSN). Mobility model describes mobility manners of nodes. It has been widely used in research on wireless network. This paper firstly introduced, classifies, and compares the current familiar mobility models. Secondly, it classifies, and compares the current familiar mobility models. Next, it was discussed that current research focus on new mobility models, analysis of nodes mobility features, trace strategy, and evaluation of mobility model. Finally, this paper involved what calls for further study.

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>

Mobility and Traffic Model Analysis for Vehicular Ad-hoc Networks

2010 ◽  
pp. 214-232
Author(s):  
Shrirang Ambaji Kulkarni ◽  
G. Raghavendra Rao
Keyword(s):  
Ad Hoc Networks ◽  
Routing Protocol ◽  
Ad Hoc Network ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Mobility Model ◽  
Vehicular Ad Hoc Network ◽  
Traffic Model ◽  
Mobility Models ◽  
Hoc Networks

Vehicular Ad Hoc Networks represent a specialized application of Mobile Ad Hoc Networks. Here the mobile nodes move in lanes and their mobility can be modeled based on realistic traffic scenarios. To meet the above challenge the goal of defining the mobility model for vehicular ad hoc network along with a realistic traffic pattern is an important research area. Vehicular mobility is characterized by acceleration, deceleration, possibility of different lanes and intelligent driving patterns. Also a modeling of traffic is necessary to evaluate a vehicular ad hoc network in a highway environment. The traffic model has to take into account the driver behavior in order to take decisions of when to overtake, change lanes, accelerate and decelerate. To overcome the limitation of traditional mobility models and mimic traffic models, many traffic model based simulators like CORSIM, PARAMICS and MOVE have been proposed. In this chapter we provide taxonomy of mobility models and analyze their implications. To study the impact of mobility model on routing protocol for vehicular motion of nodes we analyze the performance of mobility models with suitable metrics and study their correlation with routing protocol. We also discuss the fundamentals of traffic engineering and provide an insight into traffic dynamics with the Intelligent Driver Model along with its lane changing behavior.

scholarly journals RSSGM: Recurrent Self-Similar Gauss–Markov Mobility Model

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2089
Author(s):  
Mohammed J. F. Alenazi ◽  
Shatha O. Abbas ◽  
Saleh Almowuena ◽  
Maazen Alsabaan
Keyword(s):  
Public Transportation ◽  
Computational Models ◽  
Mobility Model ◽  
Node Mobility ◽  
Mobility Models ◽  
Human Movements ◽  
Self Similar ◽  
The Right ◽  
Transportation Routes ◽  
Recurrent Patterns

Understanding node mobility is critical for the proper simulation of mobile devices in a wireless network. However, current mobility models often do not reflect the realistic movements of users within their environments. They also do not provide the freedom to adjust their degrees of randomness or adequately mimic human movements by injecting possible crossing points and adding recurrent patterns. In this paper, we propose the recurrent self-similar Gauss–Markov mobility (RSSGM) model, a novel mobility model that is suitable for applications in which nodes exhibit recurrent visits to selected locations with semi-similar routes. Examples of such applications include daily human routines, airplane and public transportation routes, and intra-campus student walks. First, we present the proposed algorithm and its assumptions, and then we study its behavior in different scenarios. The study’s results show that different and more realistic mobility traces can be achieved without the need for complex computational models or existing GPS records. Our model can flexibly adjust its behavior to fit any application by carefully tuning and choosing the right values for its parameters.

scholarly journals High Speed Realistic Mobility Model for TN-Multi Lane Highway Environment

2018 ◽  
Vol 7 (4.5) ◽  
pp. 151
Author(s):  
Vivitha Varshini R.J ◽  
Naskath J ◽  
Paramasivan B
Keyword(s):  
High Speed ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Performance Metrics ◽  
High Mobility ◽  
Mobility Model ◽  
Mobility Models ◽  
Moving Vehicles ◽  
Important Quality ◽  
Hoc Networks

Vehicular Ad-hoc Networks (VANETs) are self-forming networks built from moving vehicles. The most important quality of VANETs is the high mobility of nodes, which makes the mobility model as one of the most important parameters. The mobility pattern in the mobility models is used to simulate the movement of the vehicles, which plays an important role in developing an effective communication for the vehicular network. The challenge is to generate suitable microscopic mobility model from the correct and realistic dataset. In this paper, the work analyses the different type of data sources in terms of various mobility models. Finally, it proposes the effective mobility model for the high speed multi-lane highway scenario. Then the performance metrics are analyzed for this proposed model using mobility and network simulators. 

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