Mobility modeling for personal networks: properties and its impact

Authors:
Yanying Gu;R. Venkatesha Prasad;Ignas Niemegeers
Affiliations:
Center for Wireless and Personal Communications, Delft University of Technology, Delft, The Netherlands;Center for Wireless and Personal Communications, Delft University of Technology, Delft, The Netherlands;Center for Wireless and Personal Communications, Delft University of Technology, Delft, The Netherlands
Venue:
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Year:
2009

Citing 7
Cited 0

A group mobility model for ad hoc wireless networks

MSWiM '99 Proceedings of the 2nd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
ANEJOS: a java based simulator for ad hoc networks

Future Generation Computer Systems
Research Issues in Ad-Hoc Distributed Personal Networking

Wireless Personal Communications: An International Journal
Pocket switched networks and human mobility in conference environments

Proceedings of the 2005 ACM SIGCOMM workshop on Delay-tolerant networking
Personal Network (PN) Applications

Wireless Personal Communications: An International Journal
A Self-organized Personal Network Architecture

ICNS '07 Proceedings of the Third International Conference on Networking and Services
Stationary Distributions for the Random Waypoint Mobility Model

IEEE Transactions on Mobile Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

User centered Personal Network (PN) interconnects various devices belonging to a user in different geographic locations, such as home, office, car, etc., to form one network to improve the quality of life of the user. In PNs, the user's devices move in different groups, where these groups merge and split. A PN Mobility Model (PNMM) has been proposed to model the devices' movements in PNs. In this paper, PNMM has been evaluated: stability evaluation proves that PNMM maintains a long-term steady state. The impact of PNMM on the performance of protocols designed for PNs has been discussed in this paper. Simulation results give insights of the performance of the PN Clustering Protocol, and provide guidelines for future design of clustering in PNs.