Title :
GeSoMo — A general social mobility model for delay tolerant networks
Author :
Fischer, Daniel ; Herrmann, Klaus ; Rothermel, Kurt
Author_Institution :
Inst. of Parallel & Distrib. Syst. (IPVS), Univ. of Stuttgart, Stuttgart, Germany
Abstract :
Simulation is a fundamental means for evaluating mobile applications based on ad-hoc networks. This has led to the design of a large number of mobility models for simulating realistic user movement under physical constraints (obstacles, acceleration, inertia etc.). In recent years, the new breed of social mobility models (SMMs) has risen. These SMMs model the social aspects of human mobility, i.e. which users meet, when and how often. Such information is indispensable for the simulation of a wide range of socially-aware communication protocols mostly based on delay-tolerant networks, including opportunistic ad-hoc routing and data dissemination systems. Each SMM needs a model of the relations between a set of relevant people (called social network model - SNM) in order to simulate their mobility. Existing SMMs lack flexibility since each of them is implicitly restricted to a specific, simplifying SNM. We present GeSoMo, a new SMM that separates the core mobility model from the structural description of the social network underlying the simulation. This simple and elegant design principle gives GeSoMo generalizing power: Arbitrary existing and future SNMs can be used without changing GeSoMo itself. Our evaluation results show that GeSoMo produces simulations that are coherent with a broad range of empirical data describing real-world human social behavior and mobility.
Keywords :
ad hoc networks; mobility management (mobile radio); telecommunication network routing; GeSoMo; SMM; ad-hoc network; delay tolerant network; social mobility model; social network model; socially-aware communication protocol; Communities; Coordinate measuring machines; Humans; Mobile communication; Mobile computing; Mobile handsets; Social network services;
Conference_Titel :
Mobile Adhoc and Sensor Systems (MASS), 2010 IEEE 7th International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4244-7488-2
DOI :
10.1109/MASS.2010.5663959