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- Title
A framework for modeling spatial node density in waypoint-based mobility.
- Authors
Nunes, Bruno; Obraczka, Katia
- Abstract
User mobility is of critical importance when designing mobile networks. In particular, "waypoint" mobility has been widely used as a simple way to describe how humans move. This paper introduces the first modeling framework to model waypoint-based mobility. The proposed framework is simple, yet general enough to model any waypoint-based mobility regimes. It employs first order ordinary differential equations to model the spatial density of participating nodes as a function of (1) the probability of moving between two locations within the geographic region under consideration, and (2) the rate at which nodes leave their current location. We validate our model against real user mobility recorded in GPS traces collected in three different scenarios. Moreover, we show that our modeling framework can be used to analyze the steady-state behavior of spatial node density resulting from a number of synthetic waypoint-based mobility regimes, including the widely used Random Waypoint model. Another contribution of the proposed framework is to show that using the well-known preferential attachment principle to model human mobility exhibits behavior similar to random mobility, where the original spatial node density distribution is not preserved. Finally, as an example application of our framework, we discuss using it to generate steady-state node density distributions to prime mobile network simulations.
- Subjects
WIRELESS sensor nodes; WIRELESS sensor networks; PROBABILITY theory; COMPUTER simulation; ORDINARY differential equations
- Publication
Wireless Networks (10220038), 2014, Vol 20, Issue 4, p775
- ISSN
1022-0038
- Publication type
Article
- DOI
10.1007/s11276-013-0639-0