Reputation-based content dissemination for user generated wireless podcasting

User-generated podcasting service over human-centric opportunistic network can facilitate user-generated content sharing while humans are on the move beyond the coverage of infrastructure networks. We focus on the aspects of designing efficient forwarding and cache replacement schemes of such service under the constraints of limited capability of handheld device and limited network capacity. In particular, the design of those schemes is challenged by the lack of podcast channel popularity information at each node which is crucial for forwarding and caching decisions. We design a distributed reputation system based on modified Bayesian framework that enable each node estimates the channel popularity in a efficient way. It estimates channel popularity by not only first hand observations but also second hand observations from other nodes. Our simulation result shows reputation system can always well estimate most popular, intermediate and low popular channels, compare to history-based rank scheme which can only well estimate a few most popular channels. Reputation system significantly outperforms history-based rank when the public cache size is small or "a" parameter of Zipf-like distribution is small

NaMANET – Nagy kiterjedésű mobil ad hoc hálózatok vizsgálata = NaMANET - Investigation of Large-Scale Mobile Ad Hoc Networks

A NaMANET projekt keretében elsősorban a nagy kiterjedésű mobil ad hoc hálózatok, valamint a vezeték nélküli közösségi hálózatok témájával foglalkoztunk. A mobil ad hoc hálózatok közvetlen adatátvitelt biztosító kommunikációs megoldásokra épülő lokális hálózatok, míg a vezeték nélküli közösségi hálózatok ideális körülményeket nyújthatnak ad hoc alkalmazások implementálására és bevezetésére mintegy összekötő gerinchálózatot biztosítva a mobil ad hoc hálózati szigetek számára. Kutatásaink során modelleztük és szimulációk segítségével vizsgáltuk az alkalmazásterjedést nagy kiterjedésű ad hoc hálózatokban. Összehasonlítottuk különböző szolgáltatásmenedzsment architektúrák teljesítőképességét. Megvizsgáltuk különböző információterjesztési stratégiák hatékonyságát járművek alkotta ad hoc hálózatokban, valamint megvizsgáltunk különböző klaszterezési eljárásokat biztonság és megbízhatóság szempontjából szenzor hálózatokban. Foglalkoztunk okostelefonok ad hoc hálózatokban való használatával. Terveztünk és implementáltunk egy szolgáltatástámogatási keretrendszert demo alkalmazásokkal, valamint megvizsgáltuk az ad hoc hálózatok alkalmazhatóságának kérdéskörét beltéri navigációs rendszer esetén. Foglalkoztunk vezeték nélküli közösségi hálózatok tervezési, kiépítési, üzemeltetési kérdéseivel, továbbá kidolgoztunk egy link állapotváltozást előrejelző eljárást vezeték nélküli hálózatokra. Eredményeinket számos nemzetközi konferenciacikk, folyóiratcikk és könyvfejezet formájában publikáltuk. | In the NaMANET project, we mainly focused on the investigation of large-scale mobile ad hoc networks, and the field of wireless community networks. In mobile ad hoc networks, the mobile nodes close to each other can communicate directly with their neighbors, since wireless community networks can provide ideal conditions as a backbone of the ad hoc network islands for implementing and deploying ad hoc applications. In our research, we modeled and via simulations investigated application spreading in large-scale ad hoc networks. We compared the performance of different service management architectures. We investigated the efficiency of different message spreading strategies in vehicular ad hoc networks, moreover surveyed and analysed clustering algorithms and protocols used in sensor networks from the viewpoint of security and reliability. We also dealt with using smartphones in ad hoc networks. We developed and implemented a service provisioning framework for ad hoc networks together with some demo applications, and investigated the usability of ad hoc networks in indoor navigation. Furthermore, we dealt with the area of developing, deploying and maintaining wireless community networks, and developed a link state prediction algorithm for wireless networks. We published our results in several international conference papers, journal papers and book chapters

An Analysis of Data Quality Defects in Podcasting Systems

Podcasting has emerged as an asynchronous delay-tolerant method for the distribution of multimedia files through a network. Although podcasting has become a popular Internet application, users encounter frequent information quality problems in podcasting systems. To better understand the severity of these quality problems, we have applied the Total Data Quality Management methodology to podcasting. Through the application of this methodology we have quantified the data quality problems inherent within podcasting metadata, and performed an analysis that maps specific metadata defects to failures in popular commercial podcasting platforms. Furthermore, we extracted the Really Simple Syndication (RSS) feeds from the iTunes catalog for the purpose of performing the most comprehensive measurement of podcasting metadata to date. From these findings we attempted to improve the quality of podcasting data through the creation of a metadata validation tool - PodCop. PodCop extends existing RSS validation tools and encapsulates validation rules specific to the context of podcasting. We believe PodCop is the first attempt at improving the overall health of the podcasting ecosyste

Unlocking the Potential of Wireless Learning

Wirelessly enabled learning offers distinctive benefits to teaching and learning because of portability, low cost and improved communication capabilities (Kukulska-Hulme & Traxler, 2005). This article presents an exploratory review of several categories of wireless technologies, their successful applications in higher education institutions and challenges from the educator’s perspective. Recent research reports a diverse range of wireless learning strategies, see for example Parsons et al. (2006), and current applications of wireless technologies in teaching are still emerging. Conclusions drawn from successful experiments using mobile devices and wireless networks in universities may inspire others and help reassess the challenges ahead. Further studies are needed to explore and successfully apply wireless capabilities driven by the pedagogy, rather than the technology. This paper attempts to outline various teaching strategies and relevant categories of wireless applications focusing on the relationship between the pedagogy and the supporting technology. It concludes with suggesting issues for further research, especially the need to thoroughly evaluate the learning benefits of wireless applications

An Analysis of Data Quality Defects in Podcasting Systems

Podcasting has emerged as an asynchronous delay-tolerant method for the distribution of multimedia files through a network. Although podcasting has become a popular Internet application, users encounter frequent information quality problems in podcasting systems. To better understand the severity of these quality problems, we have applied the Total Data Quality Management methodology to podcasting. Through the application of this methodology we have quantified the data quality problems inherent within podcasting metadata, and performed an analysis that maps specific metadata defects to failures in popular commercial podcasting platforms. Furthermore, we extracted the Really Simple Syndication (RSS) feeds from the iTunes catalog for the purpose of performing the most comprehensive measurement of podcasting metadata to date. From these findings we attempted to improve the quality of podcasting data through the creation of a metadata validation tool - PodCop. PodCop extends existing RSS validation tools and encapsulates validation rules specific to the context of podcasting. We believe PodCop is the first attempt at improving the overall health of the podcasting ecosyste

An Analysis of Data Quality Defects in Podcasting Systems

Podcasting has emerged as an asynchronous delay-tolerant method for the distribution of multimedia files through a network. Although podcasting has become a popular Internet application, users encounter frequent information quality problems in podcasting systems. To better understand the severity of these quality problems, we have applied the Total Data Quality Management methodology to podcasting. Through the application of this methodology we have quantified the data quality problems inherent within podcasting metadata, and performed an analysis that maps specific metadata defects to failures in popular commercial podcasting platforms. Furthermore, we extracted the Really Simple Syndication (RSS) feeds from the iTunes catalog for the purpose of performing the most comprehensive measurement of podcasting metadata to date. From these findings we attempted to improve the quality of podcasting data through the creation of a metadata validation tool - PodCop. PodCop extends existing RSS validation tools and encapsulates validation rules specific to the context of podcasting. We believe PodCop is the first attempt at improving the overall health of the podcasting ecosyste

Efficient and adaptive congestion control for heterogeneous delay-tolerant networks

Detecting and dealing with congestion in delay-tolerant networks (DTNs) is an important and challenging problem. Current DTN forwarding algorithms typically direct traffic towards more central nodes in order to maximise delivery ratios and minimise delays, but as traffic demands increase these nodes may become saturated and unusable. We pro- pose CafRep, an adaptive congestion aware protocol that detects and reacts to congested nodes and congested parts of the network by using implicit hybrid contact and resources congestion heuristics. CafRep exploits localised relative utility based approach to offload the traffic from more to less congested parts of the network, and to replicate at adaptively lower rate in different parts of the network with non-uniform congestion levels. We extensively evaluate our work against benchmark and competitive protocols across a range of metrics over three real connectivity and GPS traces such as Sassy [44], San Francisco Cabs [45] and Infocom 2006 [33]. We show that CafRep performs well, independent of network connectivity and mobility patterns, and consistently outperforms the state-of-the-art DTN forwarding algorithms in the face of increasing rates of congestion. CafRep maintains higher availability and success ratios while keeping low delays, packet loss rates and delivery cost. We test CafRep in the presence of two application scenarios, with fixed rate traffic and with real world Facebook application traffic demands, showing that regardless of the type of traffic CafRep aims to deliver, it reduces congestion and improves forwarding performance