Convex Optimization
Reality mining: sensing complex social systems
Personal and Ubiquitous Computing
The random trip model: stability, stationary regime, and perfect simulation
IEEE/ACM Transactions on Networking (TON)
The diameter of opportunistic mobile networks
CoNEXT '07 Proceedings of the 2007 ACM CoNEXT conference
Yarta: a middleware for managing mobile social ecosystems
GPC'11 Proceedings of the 6th international conference on Advances in grid and pervasive computing
Hi-index | 0.00 |
We study the dissemination of content updates, such as news or traffic information, over a mobile social network. In this application, mobile users receive content updates from their service provider. To improve coverage and increase capacity, we assume that they also share such updates, opportunistically, whenever they meet. We show that the service provider can allocate its downlink bandwidth so that it maximizes the aggregate utility over all users, i.e., the social welfare. Moreover, we specify a condition under which the system is highly scalable: even if the total bandwidth dedicated by the service provider remains fixed, the expected content age at each user grows slowly (as log(n)) with the number of users n.