Wireless LANs: From WarChalking to Open Access Networks

Battiti, Roberto; Cigno, Renato Lo; Sabel, Mikalai; Orava, Fredrik; Pehrson, Björn

doi:10.1007/s11036-005-6422-4

Cited by 29 publications

(13 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Companies such as FON 2 in Spain and WiFiTastic 3 in San Jose are out to help individuals monetize their Wi-Fi access points by providing authentication and billing infrastructure that turns ordinary access points into commercial endeavors. In fact, a cottage industry has sprung up dedicated to providing aftermarket modifications to standard access points 4 in order to facilitate the use for commercial or group access.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

What Where Wi: An Analysis of Millions of Wi-Fi Access Points

Jones

Liu

2007

2007 IEEE International Conference on Portable Information Devices

View full text Add to dashboard Cite

Abstract-With the growing demand for wireless Internet access and increasing maturity of IEEE 802.11 technologies, wireless networks have sprung up by the millions throughout the world as a popular means for Internet access at homes, in offices and in public areas, such as airports, cafés and coffee shops. An increasingly popular use of IEEE 802.11 networking equipment is to provide wireless 'hotspots' as the wireless access points to the Internet. These wireless access points, commonly referred to as WAPs or simply APs, are installed and managed by individuals and businesses in an unregulated manner -allowing anyone to install and operate one of these radio devices using unlicensed radio spectrum. This has allowed literally millions of these APs to become available and 'visible' to any interested party who happens to be within range of the radio waves emitted from the device. As the density of these APs increases, these 'beacons' can be put into multiple uses. From home networking to wireless positioning to mesh networks, there are more alternative ways for connecting wirelessly as newer, longer-range technologies come to market. This paper reports an initial study that examines a database of over 5 million wireless access points collected through wardriving by Skyhook Wireless. By performing the analytical study of this data and the information revealed by this data, including the default naming behavior, movement of access points over time, and density of access points, we found that the AP data, coupled with location information, can provide a fertile ground for understanding the "What, Where and Why" of Wi-Fi access points. More importantly, the analysis and mining of this vast and growing collection of AP data can yield important technological, social and economical results.

show abstract

Section: Introductionmentioning

confidence: 99%

“…Others such as Place Lab [10] and UCSD [2] have shown that the access points need not provide active connectivity to provide value. By using the signal and identity of the myriad access points, value can be obtained by providing services such as positioning information to stationary and mobile users.…”

Section: Introductionmentioning

confidence: 99%

What Where Wi: An Analysis of Millions of Wi-Fi Access Points

Jones

Liu

2007

2007 IEEE International Conference on Portable Information Devices

View full text Add to dashboard Cite

show abstract

“…In spite of its diffusion, the vertical integration model derived from the monolithic structure of early telephone networks has been recognized to be inadequate for managing today's data networks, since it limits innovation, it hampers competition, it increases bandwidth costs, and it endangers neutrality [7]. Regulations have been introduced in many countries to facilitate competition by forcing incumbent operators to allow new-entrants to use their infrastructures by means of local-loop unbundling, line sharing, bistream access, and convenient wholesale offers.…”

Section: Discussionmentioning

confidence: 99%

User-Provided Wireless Neutral Access Networks

Seraghiti

Bogliolo

2010

2010 Second International Conference on Advances in Future Internet

View full text Add to dashboard Cite

Involving end-users in the creation of an overlay wireless access network, which provides nomadic connectivity by exploiting under-utilized residential connections, is an attractive perspective, which has motivated the emergence of WiFi communities worldwide. The practical exploitation of user-provided local loops, however, raises organizational, administrative, technical, and regulatory issues the solution of which strongly depends on the business models and network architectures adopted by local broadband operators. This paper discusses the relationship between access network architectures and user-provided local loops, pointing out the suitability of neutral access networks as a framework for exploiting end-users' networking potentials.

show abstract

“…This was limited to the open access network (OAN) [3] paradigm and operated on media streams where trans-coding, codec selection, format change and stream width were adjusted based on a predictive technique and self-configuring behavior on the terminal that performs joint signaling with the network where media streams originate. In current work, we focus more on the autonomic control loop and especially on efficient design, consistency, and accuracy for achieving best possible behavior, i.e.…”

Section: Introductionmentioning

confidence: 99%

Multimedia QoE optimized management using prediction and statistical learning

Elkotob

Grandlund

Andersson

et al. 2010

IEEE Local Computer Network Conference

View full text Add to dashboard Cite

Abstract-We present a scheme for flow management with heterogeneous access technologies available indoors and in a campus network such as GPRS, 3G and Wi-Fi. Statistical learning is used as a key for optimizing a target variable namely video quality of experience (QoE). First we analyze the data using passive measurements to determine relationships between parameters and their impact on the main performance indicator, video Quality of Experience (QoE). The derived weights are used for performing prediction in every discrete time interval of our designed autonomic control loop to know approximately the QoE in the next time interval and perform a switch to another access technology if it yields a better QoE level. This user-perspective performance optimization is in line with operator and service provider goals. QoE performance models for slow vehicular and pedestrian speeds for Wi-Fi and 3G are derived and compared.

show abstract

Wireless LANs: From WarChalking to Open Access Networks

Cited by 29 publications

References 4 publications

What Where Wi: An Analysis of Millions of Wi-Fi Access Points

What Where Wi: An Analysis of Millions of Wi-Fi Access Points

User-Provided Wireless Neutral Access Networks

Multimedia QoE optimized management using prediction and statistical learning

Contact Info

Product

Resources

About