Mobility increases the capacity of ad hoc wireless networks
IEEE/ACM Transactions on Networking (TON)
Fitting Mixtures of Exponentials to Long-Tail Distributions to Analyze Network Performance Models
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
Routing in a delay tolerant network
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
The message delay in mobile ad hoc networks
Performance Evaluation - Performance 2005
Performance analysis of mobility-assisted routing
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
Crossing over the bounded domain: from exponential to power-law inter-meeting time in MANET
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Power law and exponential decay of inter contact times between mobile devices
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Characterizing pairwise inter-contact patterns in delay tolerant networks
Proceedings of the 1st international conference on Autonomic computing and communication systems
Bubble rap: social-based forwarding in delay tolerant networks
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
Dynamics of Inter-Meeting Time in Human Contact Networks
ASONAM '09 Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining
| Hi-index | 0.00 |
The inter-contact time between mobile human-carried devices is one of the key metrics in studying the mobility-assisted routing paradigms for wireless mobile networks. Recent studies on this topic are focused on the aggregated distribution integrating all the device pairs' inter-contact times. In this work, we study real-world inter-contact times from a new aspect. By dividing the device pairs in groups and by investigating the group-wise inter-contact time distribution, we find that for the frequently contacting pairs, there are three segments on the distribution curve. We use superposition of three stochastic contact processes caused by the devices' independent movements and human intentions to explain the segments. Furthermore, we propose a mobility model, where each node uses a priority queue to schedule its movement, to emulate real-world human mobility. Theoretical analysis shows that the priority queue results in a power-law inter-contact time and we also demonstrate that our model seamlessly integrates the three contact processes. Finally, simulation study testifies that our mobility model could reproduce the contacts with their inter-contact times resembling the empirical ones, therefore is accurate in characterizing the complexity of the device contacts in wireless mobile networks.