04-04-2011, 10:42 AM
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INTRODUCTION
SIMPS: USING SOCIOLOGY FOR PERSONAL MOBILITY
Mobility modeling aims at describing in the most accurate and simplest way the motion of mobile entities. They are fundamental tools in a large variety of domains, such as physics, biology, sociology, networking, electronic gaming, and many others. As of now, there is a growing number of mobility models used in the design and analysis of communication systems, but how many of them fully represent the aspects characterizing the mobility of human beings. This is a fundamental issue, since in many situations the mobility of communicating and sensing equipments follows human mobility. The characteristic of that approach is very important, since we consider mobility by its causes. While we will study the characteristics outputted by our mobility proposal throughout its parameter set, and compare them with characteristics recorded from mobility traces, our goal here is clearly not to gauge the consequences of our work in terms of routing performance (consequences).
1.1 OBJECTIVES
• To provide, High-resolution scalable models of complex socio-technical systems
• Service-oriented architecture and delivery mechanism for facilitating the use of these models by domain experts
• To generate mobility patterns that spans a wide range of empirical observation in an extremely robust fashion.
• It adopts outer knowledge from sociology that has not been used before.
• Distributed coordinating architecture for information fusion, model execution and data processing
• Scalable data management architecture and system to support model execution and analytics
• Scalable methods for visual and data analytics to support analysts
1.2 SCOPE OF PROJECT
• After considering all disadvantages in RWP, achieved a mobility model aimed at pedestrian crowd motion that explores recent sociological findings driving human interactions
• Also translated the two component (i) each human has specific socialization needs, quantified by a target social interaction level, which corresponds to her personal status (ii) humans make acquaintances in order to meet their social interaction needs into a coherent set of behaviors, called sociostation, driving the dynamics of simulated entities.
• Our measurements are based on many other influences are at play in any individual’s mobility, such as collision avoidance, activity planning and constraints.
• To address the roots of mobility.
1.2 FEATURES OF PROJECT
• SIMPS is a Mobility modeling that aims at describing in the most accurate and simplest way the motion of mobile entities.
• It’s main feature is being simple and analytically tractable.
• Another important feature is, it explores recent sociological findings driving human interactions.
• It updates an individual’s current behavior to either socialize or isolate.
• It is responsible for translating the behavior adopted by an individual into motion.
LITERATURE SURVEY
CHAPTER 2
LITERATURE SURVEY
There is a growing number of mobility models used in the design and analysis of communication systems. But, the question is ‘How many of them fully represent the aspects characterizing the mobility of the human beings?’ Considering the problem, many algorithms have been developed.
• Mobility modeling refers in general Random Way Point (RWP), which is the de-facto standard for both theoretical analysis and simulation results.
• RWP belongs to the same class as Brownian motion, also called Random Walk. This technique has many advantages; however, the simplicity provided by the RWP fails in capturing realistic behaviors observed in the human mobility, as shown in the recent literatures.
• To avoid this problem, network and communication technicians deploy various other techniques.
• Vehicular based mobility models have been developed first as a first set of models based on expectations how the mobility is performed in the particular situations.
• Dynamic source routing for adhoc networks is taken as one of the key technique to develop the SIMPS methodology.
• Trace based mobility models have been proposed both indoors and outdoors and the various results are obtained.
• Various other analyses show that both contact and inner-contact distributions, as well as location popularity distribution are developed.
INTRODUCTION
SIMPS: USING SOCIOLOGY FOR PERSONAL MOBILITY
Mobility modeling aims at describing in the most accurate and simplest way the motion of mobile entities. They are fundamental tools in a large variety of domains, such as physics, biology, sociology, networking, electronic gaming, and many others. As of now, there is a growing number of mobility models used in the design and analysis of communication systems, but how many of them fully represent the aspects characterizing the mobility of human beings. This is a fundamental issue, since in many situations the mobility of communicating and sensing equipments follows human mobility. The characteristic of that approach is very important, since we consider mobility by its causes. While we will study the characteristics outputted by our mobility proposal throughout its parameter set, and compare them with characteristics recorded from mobility traces, our goal here is clearly not to gauge the consequences of our work in terms of routing performance (consequences).
1.1 OBJECTIVES
• To provide, High-resolution scalable models of complex socio-technical systems
• Service-oriented architecture and delivery mechanism for facilitating the use of these models by domain experts
• To generate mobility patterns that spans a wide range of empirical observation in an extremely robust fashion.
• It adopts outer knowledge from sociology that has not been used before.
• Distributed coordinating architecture for information fusion, model execution and data processing
• Scalable data management architecture and system to support model execution and analytics
• Scalable methods for visual and data analytics to support analysts
1.2 SCOPE OF PROJECT
• After considering all disadvantages in RWP, achieved a mobility model aimed at pedestrian crowd motion that explores recent sociological findings driving human interactions
• Also translated the two component (i) each human has specific socialization needs, quantified by a target social interaction level, which corresponds to her personal status (ii) humans make acquaintances in order to meet their social interaction needs into a coherent set of behaviors, called sociostation, driving the dynamics of simulated entities.
• Our measurements are based on many other influences are at play in any individual’s mobility, such as collision avoidance, activity planning and constraints.
• To address the roots of mobility.
1.2 FEATURES OF PROJECT
• SIMPS is a Mobility modeling that aims at describing in the most accurate and simplest way the motion of mobile entities.
• It’s main feature is being simple and analytically tractable.
• Another important feature is, it explores recent sociological findings driving human interactions.
• It updates an individual’s current behavior to either socialize or isolate.
• It is responsible for translating the behavior adopted by an individual into motion.
LITERATURE SURVEY
CHAPTER 2
LITERATURE SURVEY
There is a growing number of mobility models used in the design and analysis of communication systems. But, the question is ‘How many of them fully represent the aspects characterizing the mobility of the human beings?’ Considering the problem, many algorithms have been developed.
• Mobility modeling refers in general Random Way Point (RWP), which is the de-facto standard for both theoretical analysis and simulation results.
• RWP belongs to the same class as Brownian motion, also called Random Walk. This technique has many advantages; however, the simplicity provided by the RWP fails in capturing realistic behaviors observed in the human mobility, as shown in the recent literatures.
• To avoid this problem, network and communication technicians deploy various other techniques.
• Vehicular based mobility models have been developed first as a first set of models based on expectations how the mobility is performed in the particular situations.
• Dynamic source routing for adhoc networks is taken as one of the key technique to develop the SIMPS methodology.
• Trace based mobility models have been proposed both indoors and outdoors and the various results are obtained.
• Various other analyses show that both contact and inner-contact distributions, as well as location popularity distribution are developed.
