Impact Analysis of Realistic Human Mobility over Wireless Network

Jianfeng Guan*, Wancheng Zhang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Mobility management is crucial for mobile Internet services. Mobile IPv6 and many subsequent variants aim to provide network layer mobility support for mobile nodes or mobile networks, whose performance is highly dependent on user mobility model, network topology and traffic model. Several previous researches have evaluated their performance by simulations, analytical models, and experiments. However, most of them adopt classic mobility models such as RWP without considering more realistic human mobility characteristics since most of mobile devices are carried by human being. Therefore, the performance evaluation of these solutions under realistic human mobility models becomes an important issue. In this paper we investigate human mobility characteristics and evaluates their impacts on existing mobility management protocols based on a unified simulation platform which abstracts movement parameters from realistic traces and uses them to tune other mobility models. The final results show: (1) The mobility model has an important impact on performance evaluation, and the delivery costs of RD and RWP models are different from the realistic trace which may mislead the protocols design; (2) The current mobility management protocols little consider the human mobility characteristics which cannot benefit the positive of human mobility characteristics, and they should consider the impacts of human mobility and absorb human mobility characteristics in future.

Original languageEnglish
Title of host publicationIoT as a Service - 5th EAI International Conference, IoTaaS 2019, Proceedings
EditorsBo Li, Mao Yang, Zhongjiang Yan, Jie Zheng, Yong Fang
PublisherSpringer
Pages326-340
Number of pages15
ISBN (Print)9783030447502
DOIs
Publication statusPublished - 2020
Externally publishedYes
Event5th EAI International Conference on IoT as a Service, IoTaaS 2019 - Xi'an, China
Duration: 16 Nov 201917 Nov 2019

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume316 LNICST
ISSN (Print)1867-8211

Conference

Conference5th EAI International Conference on IoT as a Service, IoTaaS 2019
Country/TerritoryChina
CityXi'an
Period16/11/1917/11/19

Keywords

  • Human mobility
  • Mobility management
  • Mobility models

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