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MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Advances in Network Simulation
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A delay-tolerant network architecture for challenged internets
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Trove: a physical game running on an ad-hoc wireless sensor network
Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies
Performance analysis of epidemic routing under contention
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Discrete Applied Mathematics
A pursuer-evader game for sensor networks
SSS'03 Proceedings of the 6th international conference on Self-stabilizing systems
Findings from an empirical study of fine-grained human social contacts
WONS'09 Proceedings of the Sixth international conference on Wireless On-Demand Network Systems and Services
Tight bounds on information dissemination in sparse mobile networks
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Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete Algorithms
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We study the process of the spread of an infection among mobile nodes moving on a finite, grid based map. A random walk and a novel adversarial model are considered as two extreme cases of node mobility. With N nodes, we present analytical and simulation results for both mobility models for a square grid map with size √G × √G. A key finding is that with random mobility the total time to infect all nodes decreases with N while with an adversarial model we observe a reverse trend. Specifically, the random case results in a total infection time of Θ(GlogGlogN/(N) as opposed to the adversarial case where the total infection time is found to be Θ(√(Glog(N). We also explore the possibility of emulating such an infection process as a mobile interaction game with wireless sensor motes, and the above results are complimented by traces obtained from an empirical study with humans as players in an outdoor field.