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

Survey on Mobility Model of Opportunistic Networks

Authors
Sheng Zhang, Ming-Hui Yao, Xin Wang, Imran Khan
Corresponding Author
Sheng Zhang
Available Online December 2016.
DOI
https://doi.org/10.2991/icwcsn-16.2017.98How to use a DOI?
Keywords
Opportunistic networks; Mobility model; Survey
Abstract
Opportunistic networks is a kind of self-organizing 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 net-works. 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 chal-lenges for the current mobility model and look forward to the future research and development.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-302-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icwcsn-16.2017.98How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Sheng Zhang
AU  - Ming-Hui Yao
AU  - Xin Wang
AU  - Imran Khan
PY  - 2016/12
DA  - 2016/12
TI  - Survey on Mobility Model of Opportunistic Networks
PB  - Atlantis Press
SP  - 475
EP  - 483
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.98
DO  - https://doi.org/10.2991/icwcsn-16.2017.98
ID  - Zhang2016/12
ER  -