Evaluating the feasibility of random waypoint model for indoor wireless networks
Document Type
Letter to the Editor
Publication Date
3-1-2021
Abstract
Trace-driven simulations supported by long-term and human-based indoor mobility traces are able to properly validate the effectiveness and efficiency of the algorithms, protocols or applications utilized in indoor wireless networks. Nevertheless, most of the mobility models adopted in the existing works are simplified variations of random waypoint (RWP) model. To evaluate the feasibility of RWP model, we extract the real-time mobility trace of a one-month period human-based raw dataset and quantitatively compare the extracted trace to that of RWP model. The comparison results reveal the inaccuracy of RWP model. We also evaluate the use of the indoor mobility trace while studying different mobility-aware problems of indoor wireless networks.
Identifier
85104497981 (Scopus)
Publication Title
Internet Technology Letters
External Full Text Location
https://doi.org/10.1002/itl2.214
e-ISSN
24761508
Issue
2
Volume
4
Grant
CNS-1617924
Fund Ref
National Science Foundation
Recommended Citation
Shao, Sihua; Khreishah, Abdallah; and Ayyash, Moussa, "Evaluating the feasibility of random waypoint model for indoor wireless networks" (2021). Faculty Publications. 4289.
https://digitalcommons.njit.edu/fac_pubs/4289