Pocket switched networks and human mobility in conference environments
Proceedings of the 2005 ACM SIGCOMM workshop on Delay-tolerant networking
The message delay in mobile ad hoc networks
Performance Evaluation - Performance 2005
Performance modeling of epidemic routing
Computer Networks: The International Journal of Computer and Telecommunications Networking
Impact of Human Mobility on Opportunistic Forwarding Algorithms
IEEE Transactions on Mobile Computing
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
Bubble rap: social-based forwarding in delay tolerant networks
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
Multicasting in delay tolerant networks: a social network perspective
Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing
IEEE/ACM Transactions on Networking (TON)
Recognizing exponential inter-contact time in VANETs
INFOCOM'10 Proceedings of the 29th conference on Information communications
Characterising aggregate inter-contact times in heterogeneous opportunistic networks
NETWORKING'11 Proceedings of the 10th international IFIP TC 6 conference on Networking - Volume Part II
Modelling inter-contact times in social pervasive networks
Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Evaluation of collaborative selfish node detection in MANETS and DTNs
Proceedings of the 15th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
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A representative characterisation of inter-contact times between nodes is essential for the performance evaluation of mobile networks. The most common characterization of inter-contact times is based on the study of the aggregate distribution of contacts between individual pairs of nodes. The problem with this aggregate distribution is that it is not always representative of the individual pair distributions, especially in the short term and when the number of nodes in the network is high. Thus, deriving results from this characterisation, can lead to inaccurate performance evaluations results. In this paper, we propose and evaluate two new methods for characterising the inter-contact times distribution in mobile networks. We prove that these characterizations have a higher representativeness, thereby improving the accuracy of the derived performance results. For evaluating the precision of the different characterizations we use the epidemic routing protocol, which has an analytical performance expression that is based on a contact rate lambda. We derive from each of the characterizations the corresponding lambda values. Then, we compare the results obtained using the analytical expression with simulation results using both synthetic and real contact traces. It is shown that the new characterization methods are very accurate, even for reduced contact traces and high number of nodes.