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Sound mobility models
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Source International Conference on Mobile Computing and Networking archive
Proceedings of the 9th annual international conference on Mobile computing and networking table of contents
San Diego, CA, USA
SESSION: Simulation and implementation issues table of contents
Pages: 205 - 216  
Year of Publication: 2003
ISBN:1-58113-753-2
Authors
Jungkeun Yoon  University of Michigan, Ann Arbor, MI
Mingyan Liu  University of Michigan, Ann Arbor, MI
Brian Noble  University of Michigan, Ann Arbor, MI
Sponsors
ACM: Association for Computing Machinery
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 10,   Downloads (12 Months): 77,   Citation Count: 43
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ABSTRACT

Simulation has become an indispensable tool in the construction and evaluation of mobile systems. By using mobility models that describe constituent movement, one can explore large systems, producing repeatable results for comparison between alternatives. Unfortunately, the vast majority of mobility models---including all those in which nodal speed and distance or destination are chosen independently---suffer from decay; average speed decreases until converging to some long-term average. Such decay provides an unsound basis for simulation studies that collect results averaged over time, complicating the experimental process.This paper shows via analysis that such decay is inevitable in a wide variety of mobility models, including the most common in use today. We derive a general framework for describing this decay, and apply it to a number of practical cases. Furthermore, this framework allows us to transform any given mobility model into a stationary one: choose initial speeds from the steady-state distribution, and subsequent speeds from the original. This transformation provides sound models for simulation, eliminating variations in average nodal speed.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  45

Collaborative Colleagues:
Jungkeun Yoon: colleagues
Mingyan Liu: colleagues
Brian Noble: colleagues