Mobile User Navigation Supported by WSAN: Full-fledge Demo of the SmartPark System

Matthias Grossglauser, Aristidis Papaioannou
2006
Discussion par affiche

The purpose of this demonstration is to illustrate that an off-the-shelf Wireless Sensor and Actuator Network (WSAN) can be used to discover resource availability and guide mobile users to these resources without any support from a navigation system like GPS. The motivating application of this technical demonstration is SmartPark, a distributed system that provides drivers with turn-by-turn instructions to free parking spots in an urban environment. This demo illustrates the usage of simple localized algorithms in the scenario where no node (fixed and mobile) has a full view of the entire network and that exploit the mobility of nodes. The SmartPark application is developed in WASAL, a laboratory for prototyping ad-hoc sensor and actuator applications.

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Matthias Grossglauser, Aristidis Papaioannou
2006
Discussion par affiche

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https://infoscience.epfl.ch/record/114604?ln=fr

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Network Resource Allocation for Competing Multiple Description Transmissions

Suhas Diggavi

Providing real-time multimedia services over a best-effort network is challenging due to the stringent delay requirements in the presence of complex network dynamics. Multiple description (MD) coding is one approach to transmit the media over diverse (multiple) paths to reduce the detrimental effects caused by path failures or delay. The novelty of this work is to investigate the resource allocation in a network, where there are several competing MD coded streams. This is done by considering a framework that chooses the operating points for asymmetric MD coding to maximize total quality of the users, while these streams are sent over multiple routing paths. We study the joint optimization of multimedia (source) coding and congestion control in wired networks. These ideas are extended to joint source coding and channel coding in wireless networks. In both situations, we propose distributed algorithms for optimal resource allocation. In the presence of path loss and competing users, the service quality to any particular MD stream could be uncertain. In such circumstances it might be tempting to expect that we need greater redundancy in the MD streams to protect against such failures. However, one surprising aspect of our study reveals that for large number of users who compete for the same resources, the overall system could benefit through opportunistic (hierarchical) strategies. In general networks, our studies indicate that the user composition varies from conservative to opportunistic operating points, depending on the number of users and their network vantage points.

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MicroCast: Cooperative Video Streaming Using Cellular and Local Connections

Christina Fragouli, Lorenzo Keller

We consider a group of mobile users, within proximity of each other, who are interested in watching the same online video. The common practice today is that each user downloads the video independently on her mobile device using her own cellular connection, which wastes access bandwidth and may also lead to poor video quality. We propose a novel cooperative system where each mobile device uses simultaneously two network interfaces: (i) cellular to connect to the video server and download parts of the video and (ii) WiFi to connect locally to all other devices in the group to exchange those parts. Devices cooperate to efficiently utilize all network resources and to adapt to varying wireless network conditions. In the local WiFi network, we exploit overhearing, which we further combine with network coding. The end result is savings in cellular bandwidth and improved user experience. We follow a complete approach, from theory to practice. First, we formulate the problem using a network utility maximization (NUM) framework, decompose the problem, and provide a distributed solution. Then, based on the structure of the NUM solution, we design a system called MicroCast, and we implement a prototype as an Android application. We provide both simulation results of the NUM solution and experimental evaluation. We demonstrate that the proposed approach brings significant performance benefits (namely, faster download on the order of the group size) without battery penalty.

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