scholarly journals Community-based Mobility Model and Probabilistic ORBIT Mobility Model Implementations in OMNeT++

10.29007/4tv9 ◽  
2018 ◽  
Author(s):  
Vishnupriya Kuppusamy ◽  
Leonardo Sarmiento ◽  
Asanga Udugama ◽  
Anna Förster
Keyword(s):  
Real World ◽  
Human Mobility ◽  
Mobility Model ◽  
Mobility Models ◽  
Community Based ◽  
Opportunistic Networking

Simulations of Opportunistic Networking (OppNet) protocols require the use of suitable synthetic mobility models or real world traces. Many synthetic mobility models have been proposed based on the study of human mobility individually and in groups. Opportunistic Protocol Simulator (OPS) is a budding simulator which is based on OMNeT++ to simulate OppNets. However, compared to other OppNet simulators in the literature, only very few synthetic mobility models exist in OMNeT++ currently, restricting the simulation of OppNets to using the existing mobility models or traces. In this paper, we develop two more synthetic mobility models in OMNeT++ namely community-based mobility model and probabilistic ORBIT based mobility, which can enhance the simulating environment available for OppNets in OMNeT++.

scholarly journals Students Social Based Mobility Model for MANET-DTN Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Dávid Hrabčák ◽  
Martin Matis ◽  
L’ubomír Doboš ◽  
Ján Papaj
Keyword(s):  
Social Relations ◽  
Real World ◽  
Routing Protocols ◽  
Social Relation ◽  
Mobility Model ◽  
Daily Routine ◽  
Mobility Models ◽  
Simulation Tools ◽  
The Impact ◽  
Wireless Mobile

In the real world, wireless mobile devices are carried by humans. For this reason, it is useful if mobility models as simulation tools used to test routing protocols and other MANET-DTN features follow the behaviour of humans. In this paper, we propose a new social based mobility model called Students Social Based Mobility Model (SSBMM). This mobility model is inspired by the daily routine of student’s life. Since many current social based mobility models give nodes freedom in terms of movement according to social feeling and attractivity to other nodes or places, we focus more on the mandatory part of our life, such as going to work and school. In the case of students, this mandatory part of their life is studying in university according to their schedule. In their free time, they move and behave according to attractivity to other nodes or places of their origin. Finally, proposed SSBMM was tested and verified by Tools for Evaluation of Social Relation in Mobility Models and compared with random based mobility models. At the end, SSBMM was simulated to examine the impact of social relations on routing protocols.

Human Mobility Patterns

2014 ◽  
pp. 245-273
Author(s):  
Ali Diab ◽  
Andreas Mitschele-Thiel
Keyword(s):  
Information System ◽  
Communication Networks ◽  
Mobile Communication ◽  
Collective Intelligence ◽  
Human Mobility ◽  
Physical World ◽  
Mobility Models ◽  
Mobility Patterns ◽  
Community Based ◽  
Insight Into

It is well accepted that the physical world itself, including communication networks, humans, and objects, is becoming a type of information system. Thus, to improve the experience of individuals, communities, organizations, and societies within such systems, a thorough comprehension of collective intelligence processes responsible for generating, handling, and controlling data is fundamental. One of the major aspects in this context and also the focus of this chapter is the development of novel methods to model human mobility patterns, which have myriad uses in crucial fields (e.g. mobile communication, urban planning, etc.). The chapter highlights the state of the art and provides a comprehensive investigation of current research efforts in this field. It classifies mobility models into synthetic, trace-based, and community-based models, and also provides insight into each category. That is, well-known approaches are presented, discussed, and qualitatively compared with each other.

scholarly journals A novel geo-hierarchical population mobility model for spatial spreading of resurgent epidemics

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Alexandru Topîrceanu ◽  
Radu-Emil Precup
Keyword(s):  
Computational Models ◽  
Human Mobility ◽  
Discrete Event ◽  
Mobility Model ◽  
Hierarchical Organization ◽  
Population Mobility ◽  
Mobility Patterns ◽  
Fine Grained ◽  
Epidemic Size ◽  
Control Of Epidemics

AbstractComputational models for large, resurgent epidemics are recognized as a crucial tool for predicting the spread of infectious diseases. It is widely agreed, that such models can be augmented with realistic multiscale population models and by incorporating human mobility patterns. Nevertheless, a large proportion of recent studies, aimed at better understanding global epidemics, like influenza, measles, H1N1, SARS, and COVID-19, underestimate the role of heterogeneous mixing in populations, characterized by strong social structures and geography. Motivated by the reduced tractability of studies employing homogeneous mixing, which make conclusions hard to deduce, we propose a new, very fine-grained model incorporating the spatial distribution of population into geographical settlements, with a hierarchical organization down to the level of households (inside which we assume homogeneous mixing). In addition, population is organized heterogeneously outside households, and we model the movement of individuals using travel distance and frequency parameters for inter- and intra-settlement movement. Discrete event simulation, employing an adapted SIR model with relapse, reproduces important qualitative characteristics of real epidemics, like high variation in size and temporal heterogeneity (e.g., waves), that are challenging to reproduce and to quantify with existing measures. Our results pinpoint an important aspect, that epidemic size is more sensitive to the increase in distance of travel, rather that the frequency of travel. Finally, we discuss implications for the control of epidemics by integrating human mobility restrictions, as well as progressive vaccination of individuals.

scholarly journals How Human Mobility Models Can Help to Deal with COVID-19

Electronics ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 33
Author(s):  
Enrique Hernández-Orallo ◽  
Antonio Armero-Martínez
Keyword(s):  
Human Mobility ◽  
Opportunistic Networks ◽  
Mobility Models ◽  
Key Factors ◽  
Mobile Computer ◽  
Heat Map ◽  
Health Authorities ◽  
Spatial Risk ◽  
Management Plans ◽  
Human Infections

One of the key factors for the spreading of human infections, such as the COVID-19, is human mobility. There is a huge background of human mobility models developed with the aim of evaluating the performance of mobile computer networks, such as cellular networks, opportunistic networks, etc. In this paper, we propose the use of these models for evaluating the temporal and spatial risk of transmission of the COVID-19 disease. First, we study both pure synthetic model and simulated models based on pedestrian simulators, generated for real urban scenarios such as a square and a subway station. In order to evaluate the risk, two different risks of exposure are defined. The results show that we can obtain not only the temporal risk but also a heat map with the exposure risk in the evaluated scenario. This is particularly interesting for public spaces, where health authorities could make effective risk management plans to reduce the risk of transmission.

scholarly journals Real world challenges in delivering person-centred care: A community-based case study

2017 ◽  
Vol 22 (8) ◽  
pp. 391-396 ◽  
Author(s):  
Sylvia Riding ◽  
Nikki Glendening ◽  
Vanessa Heaslip
Keyword(s):  
Real World ◽  
Community Based

Effect of a Fall Prevention Program on Balance Maintenance Using a Quasi-experimental Design in Real-World Settings

2012 ◽  
Vol 24 (5) ◽  
pp. 827-845 ◽  
Author(s):  
Yvonne Robitaille ◽  
Michel Fournier ◽  
Sophie Laforest ◽  
Lise Gauvin ◽  
Johanne Filiatrault ◽  
...  
Keyword(s):  
Real World ◽  
Fall Prevention ◽  
Prevention Program ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Community Dwelling ◽  
Balance Performance ◽  
Community Based ◽  
Fall Prevention Program ◽  
Quasi Experimental

Objectives: To examine the effect of a fall prevention program offered under real-world conditions on balance maintenance several months after the program. To explore the program’s impact on falls. Method: A quasi-experimental study was conducted among community-dwelling seniors, with pre- and postintervention measures of balance performance and self-reported falls. Ten community-based organizations offered the intervention (98 participants) and 7 recruited participants to the study’s control arm (102 participants). An earlier study examined balance immediately after the 12-week program. The present study focuses on the 12-month effect. Linear regression (balance) and negative binomial regression (falls) procedures were performed.falls. Results: During the 12-month study period, experimental participants improved and maintained their balance as reflected by their scores on three performance tests. There was no evidence of an effect on falls.falls. Discussion: Structured group exercise programs offered in community-based settings can maintain selected components of balance for several months after the program’s end.

Human mobility models reveal the underlying mechanism of seasonal movements across China

2021 ◽  
Author(s):  
Bing Song ◽  
Xiao-Yong Yan ◽  
Suoyi Tan ◽  
Bin Sai ◽  
Shengjie Lai ◽  
...  
Keyword(s):  
Traffic Engineering ◽  
Human Mobility ◽  
Underlying Mechanism ◽  
Gravity Models ◽  
Mobility Models ◽  
Temporal And Spatial Distribution ◽  
Population Movements ◽  
Different Types ◽  
Before And After ◽  
Time Periods

Understanding the spatial interactions of human mobility is crucial for urban planning, traffic engineering, as well as for the prevention and control of infectious diseases. Although many models have been developed to model human mobility, it is not clear whether such models could also capture the traveling mechanisms across different time periods (e.g. workdays, weekends or holidays). With one-year long nationwide location-based service (LBS) data in China, we investigate the spatiotemporal characteristics of population movements during different time periods, and make thorough comparisons for the applicability of five state-of-the-art human mobility models. We find that population flows show significant periodicity and strong inequality across temporal and spatial distribution. A strong “backflow” effect is found for cross-city movements before and after holidays. Parameter fitting of gravity models reveals that travels in different type of days consider the attractiveness of destinations and cost of distance differently. Surprisingly, the comparison indicates that the parameter-free opportunity priority selection (OPS) model outperforms other models and is the best to characterize human mobility in China across all six different types of days. However, there is still an urgent need for development of more dedicated models for human mobility on weekends and different types of holidays.

scholarly journals Layered Mobility Model Architecture - LEMMA

2009 ◽  
Vol 5 (1) ◽  
Author(s):  
Alexander P Pelov ◽  
Thomas Noel
Keyword(s):  
Wireless Network ◽  
Mobility Model ◽  
Mobility Models ◽  
Group Mobility ◽  
Layered Architecture ◽  
The Core ◽  
Network Simulations

This paper presents the generic layered architecture for mobility models (LEMMA), which can be used to construct a wide variety of mobility models, including the majority of models used in wireless network simulations. The fundamental components of the architecture are described and analyzed, in addition to its benefits. One of the core principles stipulates that each mobility model is divided in five distinct layers that communicate via interfaces. This allows their easy replacement and recombination, which we support by reviewing 19 layers that can form 480 different mobility models. Some of the advanced features provided by the architecture are also discussed, such as layer aggregation, and creation of hybrid and group mobility models. Finally, some of the numerous existing studies of the different layers are presented.

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