Access and mobility of wireless PDA users

By Marvin McNett, Geoffrey M. Voelker. MOCO, 2003

350 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/8bceb831b489d372e47b05afce582b347f425a2d

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In Computer Networks and Communications

Citations in the corpus

Extracting a Mobility Model from Real User Traces (2006, background): “One study [4] examines the large traces collected at Dartmouth College [5], [6] and UCSD [7], but only recognizes opportunities when the users are at the same Wi-Fi access point (AP), in contrast to when the users are within communication range of each other.”
On the Levy-Walk Nature of Human Mobility (2008, methodology): “The area of the simulation is set to the size of UCSD.”
Spray and Focus: Efficient Mobility-Assisted Routing for Heterogeneous and Correlated Mobility (2007, background): “Another example would be that of a university campus, where most people tend to stay or move locally within their buildings for long stretches of time [22], [25].”
Delegation forwarding (2008, methodology): “Middle Row: Conext 06 3-6; UCSD 9-3; UCSD 3-9.”
Performance analysis of mobility-assisted routing (2006, background): “As can be seen from its description, this model captures real life mobility characteristics observed in various traces [4, 18–20 , 25 ] considerably better than the Let us denote as π r the probability that a given epoch of node i is a local or a roaming one, respectively.”
Evaluating Mobility Pattern Space Routing for DTNs (2005, neutral): “For instance, in the Euclidean space, a bundle may reach a local maximum if a node has a mobility pattern that is the most similar in the local neighborhood to the destination node’s mobility pattern, but is not sufﬁcient for one reason or another to achieve the delivery.”
A community based mobility model for ad hoc network research (2006, result): “OthersimilarprojectsaretheWirelessTopology Discovery project at the UCSD [ 16 ] and the campus-wide WaveLantrafficmeasurementandanalysis exercisesthathavebeen carried out at Dartmouth College [6].”
Modeling Time-Variant User Mobility in Wireless Mobile Networks (2007, background): “Along a different line of research, to understand mobility empirically, there has been WLAN measurement works which reveal the important mobility characteristics of the real-world wireless network users [9], [10], [11].”
Efficient Routing in Intermittently Connected Mobile Networks: The Multiple-Copy Case (2008, background): “An example where such localized mobility might arise could be, for example, a university campus, where most people tend to stay or move locally within their buildings for long stretches of time [33].”
Pocket Switched Networks: Real-world mobility and its consequences for opportunistic forwarding (2005, methodology): “This category includes Balazinska and Castro’s study [3] as well as the data gathered at UCSD [4] and Dartmouth [5] which we analyse in this paper.”