Modeling Time-Variant User Mobility in Wireless Mobile Networks

Realistic mobility models are important to understand the performance of routing protocols in wireless ad hoc networks, especially when mobility-assisted routing schemes are employed, which is the case, for example, in delay-tolerant networks (DTNs). In mobility-assisted routing, messages are stored...

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Bibliographic Details
Published in:IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications pp. 758 - 766
Main Authors: Wei-jen Hsu, Spyropoulos, T., Psounis, K., Helmy, A.
Format: Conference Proceeding
Language:English
Published: IEEE 01.05.2007
Subjects:
Ad hoc networks
Communications Society
Delay
Mathematical model
Peer to peer computing
Proposals
Routing protocols
Wireless communication
Wireless LAN
Wireless networks
ISBN:1424410479, 9781424410477
ISSN:0743-166X
Online Access:Get full text
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Summary:Realistic mobility models are important to understand the performance of routing protocols in wireless ad hoc networks, especially when mobility-assisted routing schemes are employed, which is the case, for example, in delay-tolerant networks (DTNs). In mobility-assisted routing, messages are stored in mobile nodes and carried across the network with nodal mobility. Hence, the delay involved in message delivery is tightly coupled with the properties of nodal mobility. Currently, commonly used mobility models are simplistic random i.i.d. model that do not reflect realistic mobility characteristics. In this paper we propose a novel time-variant community mobility model. In this model, we define communities that are visited often by the nodes to capture skewed location visiting preferences, and use time periods with different mobility parameters to create periodical re-appearance of nodes at the same location. We have clearly observed these two properties based on analysis of empirical WLAN traces. In addition to the proposal of a realistic mobility model, we derive analytical expressions to highlight the impact on the hitting time and meeting times if these mobility characteristics are incorporated. These quantities in turn determine the packet delivery delay in mobility-assisted routing settings. Simulation studies show our expressions have error always under 20%, and in 80% of studied cases under 10%.
ISBN:1424410479
9781424410477
ISSN:0743-166X
DOI:10.1109/INFCOM.2007.94