AMUSE: Empowering Users for Cost-Aware Offloading with Throughput-Delay Tradeoffs PROJECT TITLE :AMUSE: Empowering Users for Cost-Aware Offloading with Throughput-Delay TradeoffsABSTRACT:To deal with recent exponential increases in demand for mobile information, wireless Internet service suppliers (ISPs) are increasingly changing their pricing plans and deploying Wi-Fi hotspots to dump their mobile traffic. However, these ISP-centric approaches for traffic management don't continually match the interests of mobile users. Users face a complicated, multi-dimensional tradeoff between cost, throughput, and delay in creating their offloading selections: whereas they may save money and receive a better throughput by awaiting Wi-Fi access, they'll not wait for Wi-Fi if they are sensitive to delay. To navigate this tradeoff, we have a tendency to develop Adaptive bandwidth Management through USer-Empowerment (AMUSE), a functional prototype of a sensible, value-aware Wi-Fi offloading system that takes under consideration a user's throughput-delay tradeoffs and cellular budget constraint. Based on predicted future usage and Wi-Fi availability, AMUSE decides which applications to offload to what times of the day. Since nearly all traffic flows from mobile devices are TCP flows, we have a tendency to introduce a replacement receiver-aspect bandwidth allocation mechanism to practically enforce the assigned rate of each TCP application. Thus, AMUSE users can optimize their bandwidth rates in keeping with their own price-throughput-delay tradeoff while not relying on support from totally different apps' content servers. Through a measurement study of 20 smartphone users' traffic usage traces, we tend to observe that though users already offload a large amount of some application types, our framework can offload a important further portion of users' cellular traffic. We have a tendency to implement AMUSE on Windows seven tablets and evaluate its effectiveness with 3G and Wi-Fi usage data obtained from an attempt with 37 mobile users. Our results show that AMUSE improves user utility; compared with AMUSE, different offloading algorithms yield 14 and 27 % lower user utilities for lightweight and heavy users, respectively. Intelligently managing users' competing interes- s for cost, throughput, and delay will thus improve their offloading decisions. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Three-dimensional geographic routing in wireless mobile ad hoc and sensor networks On the dimension of the Krylov subspace in low complexity wireless communications linear receivers