Advances in linear and integer programming
Advances in linear and integer programming
Bubble rap: social-based forwarding in delay tolerant networks
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
Augmenting mobile 3G using WiFi
Proceedings of the 8th international conference on Mobile systems, applications, and services
Mobile data offloading: how much can WiFi deliver?
Proceedings of the 6th International COnference
Cellular Traffic Offloading through WiFi Networks
MASS '11 Proceedings of the 2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems
Energy Efficient Offloading of 3G Networks
MASS '11 Proceedings of the 2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems
Win-Coupon: An incentive framework for 3G traffic offloading
ICNP '11 Proceedings of the 2011 19th IEEE International Conference on Network Protocols
Mobile Data Offloading through Opportunistic Communications and Social Participation
IEEE Transactions on Mobile Computing
IEEE Communications Magazine
Socially-aware market mechanism for participatory sensing
Proceedings of the first ACM international workshop on Mission-oriented wireless sensor networking
Taming the mobile data deluge with drop zones
IEEE/ACM Transactions on Networking (TON)
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Recently, there has been a tremendous increase in mobile data usage with the wide-spread proliferation of smartphone like devices. However, this increased demand from users has caused severe traffic overloading in cellular networks. Offloading the traffic through several other devices (femtocells, WiFi access points) have been considered to be immediate remedy for such a problem. Thus, in this paper, we study the deployment of WiFi access points (AP) in a metropolitan area for efficient offloading of mobile data traffic. We analyze a large scale real user mobility traces and propose a deployment algorithm based on the density of user data request frequency. In simulations, we present offloading ratio that our algorithm can accomplish with different number of APs. The results demonstrate that our algorithm can achieve close to optimal offloading ratio that is higher than offloading ratios that existing algorithms can achieve with the same number of APs.