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RWP+: A New Random Waypoint Model for High-Speed Mobility
- Publication Year :
- 2021
-
Abstract
- In this letter, we emulate real-world statistics for mobility patterns on road systems. We then propose modifications to the assumptions of the random waypoint (RWP) model to better represent high-mobility profiles. We call the model under our new framework as RWP+. Specifically, we show that the lengths of the transitions which constitute a trip, are best represented by a lognormal distribution, and that the velocities are best described by a linear combination of normal distributions with different mean values. Compared to the assumptions used in the literature for mobile cellular networks, our modeling provides mobility metrics, such as handoff rates, that better characterize actual emulated trips from the collected statistics.<br />To appear in IEEE Communications Letters
- Subjects :
- FOS: Computer and information sciences
Computer science
Computer Science - Information Theory
Systems and Control (eess.SY)
02 engineering and technology
Electrical Engineering and Systems Science - Systems and Control
Statistics - Applications
Data modeling
Normal distribution
Waypoint
11. Sustainability
FOS: Electrical engineering, electronic engineering, information engineering
0202 electrical engineering, electronic engineering, information engineering
Applications (stat.AP)
Electrical and Electronic Engineering
Linear combination
Information Theory (cs.IT)
Other Statistics (stat.OT)
020206 networking & telecommunications
Computer Science Applications
Statistics - Other Statistics
Handover
Modeling and Simulation
Log-normal distribution
Routing (electronic design automation)
Algorithm
Random waypoint model
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....54f18e0b70660061c772d873c5ee1e0e