A survey of mobility models for ad hoc network research
By Tracy Camp, Jeff Boleng, Vanessa Davies. Wireless Communications and Mobile Computing, 2002
5,399 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/ade9e5a04726d34de8e9b721a11b8de28552a84b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Jean-Pierre Hubaux
- Srdjan Čapkun
- Levente Buttyán
- Paolo Santi
- Mani B. Srivastava
- Cecilia Mascolo
- Mirco Musolesi
- J. L. Boudec
In Electrical and Electronic Engineering
- Jean-Pierre Hubaux
- Levente Buttyán
- Srdjan Čapkun
- Fethi Filali
- Christian Bonnet
- Jérôme Härri
- Paolo Santi
- Cecilia Mascolo
Citations in the corpus
- Probabilistic routing in intermittently connected networks (2003, methodology): “These nodes move according to the random way-point mobility model [19] with speeds of 0 − 20 m/s.”
- SORI: a secure and objective reputation-based incentive scheme for ad-hoc networks (2004, methodology): “The random waypoint mobility model [3] is used to generate the moving direction, the speed and the pause duration of each”
- A peer-to-peer spatial cloaking algorithm for anonymous location-based service (2006, methodology): “dividual random walk model that is based on “random waypoint” model [7, 8].”
- Perfect simulation and stationarity of a class of mobility models (2005, background): “Thus all findings of Section VI apply, in particular, the time stationary speed is independent of location and is given by Theorem 5.”
- Mobility models for ad hoc network simulation (2004, methodology): “Several variants of the random waypoint model have also been studied [12], [13], [14], [15].”
- Non-Orthogonal Multiple Access for Visible Light Communications (2015, methodology): “In this mobility model, a user may move from its location to a new location by randomly choosing a direction between 0 and2π and a speed between 0 and2 m/s [9].”
- The ONE simulator for DTN protocol evaluation (2009, background): “While these models are popular due to their simplicity, they have various known shortcomings [4].”
- Pocket Switched Networks: Real-world mobility and its consequences for opportunistic forwarding (2005, neutral): “Modeling : Much of the work in DTN and MANET s concerns the modeling of mobility or location [6, 7].”
- Data Offloading Techniques in Cellular Networks: A Survey (2015, critical): “While simple to implement, these models are not realistic in reproducing human behavior [133].”
- On the Levy-Walk Nature of Human Mobility (2008, methodology): “Commonly used mobility models in computer networking research are random way point (RWP) [1]‐[3] or random walk models such as Brownian motion (BM) [ 4 ]‐[6] and Markovian mobility [7], [8].”
- Coverage and connectivity issues in wireless sensor networks: A survey (2008, background): “However, most of the algorithms assume random movement of nodes without considering any mobility models [9].”
- Data MULEs: modeling and analysis of a three-tier architecture for sparse sensor networks (2003, background): “Also as mentioned in a recent survey [17], random walk is a widely used mobility model which is useful in modeling the unpredictable motion of entities.”
- Mobility models for vehicular ad hoc networks: a survey and taxonomy (2009, methodology): “2) Improved Motion Constraints: The probable first improvement to the legacy models has been provided by the BonnMotion tool [76], which implements most of the random mobility models presented in [ 64 ], including the Manhattan model, but restricts nodes’ motion constraints on a grid and provides tr”
- Data MULEs: modeling a three-tier architecture for sparse sensor networks (2003, background): “Also as mentioned in a recent survey [17], random walk is a widely used mobility model which is useful in modeling the unpredictable motion of entities.”