EMM: an event-driven mobility model for generating movements of large numbers of mobile nodes

Chang, Yi-Chun; Liao, Hsien-Chou

doi:10.1016/j.simpat.2004.11.005

Cited by 11 publications

(10 citation statements)

References 10 publications

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“…Event driven mobility model. Event driven mobility model [48] was first proposed by Chang. In real life, there are work, school, meetings and other events, which cause human beings to move to different places at different times.…”

Section: B Mobility Model Based On Real Worldmentioning

confidence: 99%

Survey on Mobility Model of Opportunistic Networks

Zhang

Yao

Wang

et al. 2017

Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

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Abstract-T Opportunistic networks is a kind of selforganizing networks which does not need the complete communication paths between the source node and the destination node. They transfer messages through communication opportunities arising from nodes movement. Because the message transmission opportunity depends on the movement of nodes, the mobility model becomes an important research hotspot in the opportunistic networks. Meanwhile mobility models are usually used for simulation purposes when new network protocols are evaluated. Firstly, this paper outlines the significance and classification of mobility model, and shows the classical mobility models at the present stage. Secondly, we summarize the mobility characteristic of nodes, and compare and analyze the classical mobility models. Finally, we summarize the existing problems and challenges for the current mobility model and look forward to the future research and development.

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Section: B Mobility Model Based On Real Worldmentioning

confidence: 99%

Survey on Mobility Model of Opportunistic Networks

Zhang

Yao

Wang

et al. 2017

Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

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show abstract

“…The agent-template concept has been defined as an entity consisting of a set of rules, a set of internal actions, and interfaced nodes for agent communications [28]. In our previous research, we have proposed a CPN-based trace model, called the event-driven mobility (EMM), to generate models of students' movements on campus in order to facilitate simulations for the researches with respect to wireless network field [9]. Bashirov and Crespi [1] proposed an innovative technique based on the CPN that allows users to analyze the permutation capability of arbitrary multistage interconnection networks.…”

Section: Relevant Literaturementioning

confidence: 99%

Applying learning behavioral Petri nets to the analysis of learning behavior in web-based learning environments

Chang

Chu

2010

Information Sciences

Self Cite

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“…(3) Chang and Liao proposed a CPN-based trace model, event-driven mobility model (EMM), to simulate student movement on campus to facilitate the simulation of network research (Chang & Liao, 2005). (4) In 2005, Gao et al…”

Section: The Related Applications Of Hlpnmentioning

confidence: 99%