A group mobility model for ad hoc wireless networks
MSWiM '99 Proceedings of the 2nd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
Age matters: efficient route discovery in mobile ad hoc networks using encounter ages
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Predictive distance-based mobility management for multidimensional PCS networks
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DTN routing as a resource allocation problem
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Periodic properties of user mobility and access-point popularity
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Power law and exponential decay of inter contact times between mobile devices
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IEEE/ACM Transactions on Networking (TON)
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Proceedings of the 1st ACM SIGMOBILE workshop on Mobility models
SIMPS: using sociology for personal mobility
IEEE/ACM Transactions on Networking (TON)
Modeling spatial and temporal dependencies of user mobility in wireless mobile networks
IEEE/ACM Transactions on Networking (TON)
CEDO: content-centric dissemination algorithm for delay-tolerant networks
Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems
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Many empirical studies of human walks have reported that there exist fundamental statistical features commonly appearing in mobility traces taken in various mobility settings. These include: 1) heavy-tail flight and pause-time distributions; 2) heterogeneously bounded mobility areas of individuals; and 3) truncated power-law intercontact times. This paper reports two additional such features: a) The destinations of people (or we say waypoints) are dispersed in a self-similar manner; and b) people are more likely to choose a destination closer to its current waypoint. These features are known to be influential to the performance of human-assisted mobility networks. The main contribution of this paper is to present a mobility model called Self-similar Least-Action Walk (SLAW) that can produce synthetic mobility traces containing all the five statistical features in various mobility settings including user-created virtual ones for which no empirical information is available. Creating synthetic traces for virtual environments is important for the performance evaluation of mobile networks as network designers test their networks in many diverse network settings. A performance study of mobile routing protocols on top of synthetic traces created by SLAW shows that SLAW brings out the unique performance features of various routing protocols.