Location-aided routing (LAR) in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
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
A scalable location service for geographic ad hoc routing
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Smooth is better than sharp: a random mobility model for simulation of wireless networks
MSWIM '01 Proceedings of the 4th ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
Algorithmic issues in modeling motion
ACM Computing Surveys (CSUR)
PATHS: analysis of PATH duration statistics and their impact on reactive MANET routing protocols
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
The Design and Deployment of a Mobility Supporting Network
ISPAN '96 Proceedings of the 1996 International Symposium on Parallel Architectures, Algorithms and Networks
ON ENERGY EFFICIENCY AND NETWORK CONNECTIVITY OF MOBILE AD HOC NETWORKS
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Proceedings of the 9th annual international conference on Mobile computing and networking
Towards realistic mobility models for mobile ad hoc networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Distributed algorithms for guiding navigation across a sensor network
Proceedings of the 9th annual international conference on Mobile computing and networking
The Node Distribution of the Random Waypoint Mobility Model for Wireless Ad Hoc Networks
IEEE Transactions on Mobile Computing
On the behavior of communication links of a node in a multi-hop mobile environment
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
Topology Control of Ad Hoc Wireless Networks for Energy Efficiency
IEEE Transactions on Computers
Distributed Topology Control of Wireless Networks
WIOPT '05 Proceedings of the Third International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Stationary distributions of random walk mobility models for wireless ad hoc networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Model T: an empirical model for user registration patterns in a campus wireless LAN
Proceedings of the 11th annual international conference on Mobile computing and networking
Stationary Distributions for the Random Waypoint Mobility Model
IEEE Transactions on Mobile Computing
Enhanced path prediction for network resource management in wireless LANs
IEEE Wireless Communications
A mobility-based framework for adaptive clustering in wireless ad hoc networks
IEEE Journal on Selected Areas in Communications
On improving temporal and spatial mobility metrics for wireless ad hoc networks
Information Sciences: an International Journal
A sighting-aware obstacle mobility model for ad hoc network
International Journal of Wireless and Mobile Computing
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We propose a novel mobility model, named Semi-Markov Smooth (SMS) model, to characterize the smooth movement of mobile users in accordance with the physical law of motion in order to eliminate sharp turns, abrupt speed change and sudden stops exhibited by existing models. We formulate the smooth mobility model by a semi-Markov process to analyze the steady state properties of this model because the transition time between consecutive phases (states) has a discrete uniform distribution, instead of an exponential distribution. Through stochastic analysis, we prove that this model unifies many good features for analysis and simulations of mobile networks. First, it is smooth and steady because there is no speed decay problem for arbitrary starting speed, while maintaining uniform spatial node distribution regardless of node placement. Second, it can be easily and flexibly applied for simulating node mobility in wireless networks. It can also adapt to different network environments such as group mobility and geographic constraints. To demonstrate the impact of this model, we evaluate the effect of this model on distribution of relative speed, link lifetime between neighboring nodes, and average node degree by ns-2 simulations.