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Full-Text Articles in Physical Sciences and Mathematics
Crawdad: A Community Resource For Archiving Wireless Data At Dartmouth, David Kotz, Tristan Henderson
Crawdad: A Community Resource For Archiving Wireless Data At Dartmouth, David Kotz, Tristan Henderson
Dartmouth Scholarship
Wireless network researchers are seriously starved for data about how real users, applications, and devices use real networks under real network conditions. CRAWDAD (Community Resource for Archiving Wireless Data at Dartmouth) is a new National Science Foundation-funded project to build a wireless-network data archive for the research community. It will host wireless data and provide tools and documents to make collecting and using the data easy. This resource should help researchers identify and evaluate real and interesting problems in mobile and pervasive computing. To learn more about CRAWDAD and discuss its direction, about 30 interested people gathered at a workshop …
Modeling Users' Mobility Among Wifi Access Points, Minkyong Kim, David Kotz
Modeling Users' Mobility Among Wifi Access Points, Minkyong Kim, David Kotz
Dartmouth Scholarship
Modeling movements of users is important for simulating wireless networks, but current models often do not reflect real movements. Using real mobility traces, we can build a mobility model that reflects reality. In building a mobility model, it is important to note that while the number of handheld wireless devices is constantly increasing, laptops are still the majority in most cases. As a laptop is often disconnected from the network while a user is moving, it is not feasible to extract the exact path of the user from network messages. Thus, instead of modeling individual user's movements, we model movements …
Analysis Of A Wi-Fi Hotspot Network, David P. Blinn, Tristan Henderson, David Kotz
Analysis Of A Wi-Fi Hotspot Network, David P. Blinn, Tristan Henderson, David Kotz
Dartmouth Scholarship
Wireless hotspot networks have become increasingly popular in recent years as a means of providing Internet access in public areas such as restaurants and airports. In this paper we present the first study of such a hotspot network. We examine five weeks of SNMP traces from the Verizon Wi-Fi HotSpot network in Manhattan. We find that far more cards associated to the network than logged into it. Most clients used the network infrequently and visited few APs. AP utilization was uneven and the network displayed some unusual patterns in traffic load. Some characteristics were similar to those previously observed in …
Classifying The Mobility Of Users And The Popularity Of Access Points, Minkyong Kim, David Kotz
Classifying The Mobility Of Users And The Popularity Of Access Points, Minkyong Kim, David Kotz
Dartmouth Scholarship
There is increasing interest in location-aware systems and applications. It is important for any designer of such systems and applications to understand the nature of user and device mobility. Furthermore, an understanding of the effect of user mobility on access points (APs) is also important for designing, deploying, and managing wireless networks. Although various studies of wireless networks have provided insights into different network environments and user groups, it is often hard to apply these findings to other situations, or to derive useful abstract models. \par In this paper, we present a general methodology for extracting mobility information from wireless …
Measuring Wireless Network Usage With The Experience Sampling Method, Tristan Henderson, Denise Anthony, David Kotz
Measuring Wireless Network Usage With The Experience Sampling Method, Tristan Henderson, Denise Anthony, David Kotz
Dartmouth Scholarship
Measuring wireless local area networks has proven useful for characterizing, modeling and provisioning these networks. These measurements are typically taken passively from a vantage point on the network itself. Client devices, or users, are never actively queried. These measurements can indicate \em what is happening on the network, but it can be difficult to infer \em why a particular behavior is occurring. In this paper we use the Experience Sampling Method (ESM) to study wireless network users. We monitored 29 users remotely for one week, and signaled them to fill out a questionnaire whenever interesting wireless behavior was observed. We …
The Kerf Toolkit For Intrusion Analysis, Javed Aslam, Sergey Bratus, David Kotz, Ronald Peterson
The Kerf Toolkit For Intrusion Analysis, Javed Aslam, Sergey Bratus, David Kotz, Ronald Peterson
Dartmouth Scholarship
No abstract provided.