TY  - CHAP
TI  - An arrival-based framework for human mobility modeling
AV  - none
Y1  - 2012///
KW  - Aggregates
KW  -  Analytical models
KW  -  Communities
KW  -  Humans
KW  -  Mathematical model
KW  -  Mobile ad hoc networks
KW  -  Stochastic processes 
UR  - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6263683&isnumber=6263669
A1  - Karamshuk, Dmytro
A1  - Boldrini, Chiara
A1  - Conti, Marco
A1  - Passarella, Andrea
PB  - IEEE
SN  - 978-1-4673-1237-0
SP  - 1
N2  - Modeling human mobility is crucial in the performance analysis and simulation of mobile ad hoc networks, where contacts are exploited as opportunities for peer-to-peer message forwarding. The current approach to human mobility modeling has been based on continuously modifying models, trying to embed in them the newest features of mobility properties (e.g., visiting patterns to locations or inter-contact times) as they came up from trace analysis. As a consequence, typically these models are neither flexible (i.e., features of mobility cannot be changed without changing the model) nor controllable (i.e., the exact shape of mobility properties cannot be controlled directly). In order to take into account the above requirements, in this paper we propose a mobility framework whose goal is, starting from the stochastic process describing the arrival patterns of users to locations, to generate pairwise inter-contact times and aggregate inter-contact times featuring a predictable probability distribution. We validate the proposed framework by means of simulations. In addition, assuming that the arrival process of users to locations can be described by a Bernoulli process, we mathematically derive a closed form for the pairwise and aggregate inter-contact times, proving the controllability of the proposed approach in this case.
N1  - San Francisco, California, USA, June 25-28, 2012
ID  - eprints1557
T2  - Proceeding of the 13th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2012 
EP  - 9
ER  -