Research Article
Realistic Human Mobility Model for Opportunistic Networks
@ARTICLE{10.4108/eai.2-5-2022.173976, author={Abdolbast Greede}, title={Realistic Human Mobility Model for Opportunistic Networks}, journal={EAI Endorsed Transactions on Mobile Communications and Applications}, volume={6}, number={20}, publisher={EAI}, journal_a={MCA}, year={2022}, month={5}, keywords={Opportunistic Networks, Protocol Evaluations, Mobility Models, Simulations, Wireless Networks}, doi={10.4108/eai.2-5-2022.173976} }- Abdolbast Greede
Year: 2022
Realistic Human Mobility Model for Opportunistic Networks
MCA
EAI
DOI: 10.4108/eai.2-5-2022.173976
Abstract
Within the opportunistic wireless network research community, the evaluation of a new network protocol depends almost entirely on simulation. Using simulation enables a researcher to test a wide variety of scenarios at a low cost compared to using a real system. In opportunistic networks, the mobility of users plays a key role in data delivery; therefore, the value of the validation of a data forwarding protocol is highly dependent on the mobility models used in the simulation. In this paper, popular mobility models are assessed. Based on this analysis, a novel mobility model “Realistic Human Mobility Model” (RHMM) is proposed. The performance of the RHMM is evaluated and compared with real traces. The results show that RHMM generates mobility patterns that present characteristics similar to real ones and it has the same statistical properties identified in the real human mobility patterns.
Copyright © 2022 Abdolbast Greede et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.