A performance comparison of multi-hop wireless ad hoc network routing protocols
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Analysis of TCP performance over mobile ad hoc networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Mobility modeling in wireless networks: categorization, smooth movement, and border effects
ACM SIGMOBILE Mobile Computing and Communications Review
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Mobility and stability evaluation in wireless multi-hop networks using multi-player games
NetGames '03 Proceedings of the 2nd workshop on Network and system support for games
An ad hoc mobility model founded on social network theory
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
Urban pedestrian mobility for mobile wireless network simulation
Ad Hoc Networks
A novel data dissemination method for vehicular networks with rateless codes
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Trace-based mobility modeling for multi-hop wireless networks
Computer Communications
RECAST: telling apart social and random relationships in dynamic networks
Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems
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User mobility models are used in simulations of mobile communications systems to study characteristics of network performance. One of the models which is in common use is the Random Waypoint Model (RWP). The RWP is a simple mobility model based on random destinations, speeds and pause times. The RWP is often criticised as not representing how humans actually move. Paradoxically, validation against real mobility data is seen as being difficult due to the impracticalities of obtaining real mobility data.We give details of a real world user movement trace from which we obtained data about one individual's destinations, travel routes, average speed and rest times whilst moving throughout a city-wide area. We present results from this real life data and use it to validate some of the key characteristics of the RWP. In this paper we consider the RWP as a model of user mobility in networks that cater for a large geographical area - such as a city.