NDLI: Model T: A model for user registration patterns based on campus WLAN data

Please wait, while we are loading the content...

On designing incentive-compatible routing and forwarding protocols in wireless ad-hoc networks : An integrated approach using game theoretic and cryptographic techniques

Barrier coverage with wireless sensors

MAP: Medial axis based geometric routing in sensor networks

Context-aware platform for mobile data management

Wireless Networks : Volume 13, Issue 5, October 2007

Wireless Networks : Volume 13, Issue 4, August 2007

Wireless Networks : Volume 13, Issue 3, June 2007

Wireless Networks : Volume 13, Issue 2, April 2007

Wireless Networks : Volume 13, Issue 1, February 2007

Wireless Networks : Volume 12

Wireless Networks : Volume 11

Wireless Networks : Volume 10

Wireless Networks : Volume 9

Wireless Networks : Volume 8

Wireless Networks : Volume 7

Wireless Networks : Volume 6

Wireless Networks : Volume 5

Wireless Networks : Volume 4

Wireless Networks : Volume 3

Model T: A model for user registration patterns based on campus WLAN data

Content Provider	Springer Nature Link
Author	Jain, Ravi Lelescu, Dan Balakrishnan, Mahadevan
Copyright Year	2006
Abstract	We discuss the derivation of an empirical model for spatial registration patterns of mobile users in a campus wireless local area network (WLAN). Such a model can be very useful in a variety of simulation studies of the performance of mobile wireless systems, such as that of resource management and mobility management protocols. We base the model on extensive experimental data from a campus WiFi LAN installation. We divide the empirical data available to us into training and test data sets, develop the model based on the training set, and evaluate it against the test set.The model shows that user registration patterns exhibit a distinct hierarchy, and that WLAN access points (APs) can be clustered based on registration patterns. Cluster size distributions are highly skewed, as are intra-cluster transition probabilities and trace lengths, which can all be modeled well by the heavy-tailed Weibull distribution. The fraction of popular APs in a cluster, as a function of cluster size, can be modeled by exponential distributions. There is general similarity across hierarchies, in that inter-cluster registration patterns tend to have the same characteristics and distributions as intra-cluster patterns. In this context, we also introduce and discuss the modeling of the disconnected state as an integral part of real traffic characteristics.We generate synthetic traffic traces based on the model we derive. We then compare these traces against the real traces from the test set using a set of metrics we define. We find that the synthetic traces agree very well with the test set in terms of the metrics. We compare the derived model to a simple modified random waypoint model, and show that the latter is not at all representative of the real data. We also show how the model parameters can be varied to allow designers to consider ‘what-if’ scenarios easily. Finally we develop an extended version of Model T that uses an alternative modeling of relative popularity of APs and clusters, with certain generalization advantages, and evaluate its fidelity to the real data also, with positive results.
Starting Page	711
Ending Page	735
Page Count	25
File Format	PDF
ISSN	10220038
Journal	Wireless Networks
Volume Number	13
Issue Number	6
e-ISSN	15728196
Language	English
Publisher	Springer US
Publisher Date	2006-10-27
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Mobility models Registration models Wireless LAN Computer Communication Networks Electronic and Computer Engineering Business Information Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Model T: an empirical model for user registration patterns in a campus wireless LAN

Model t: an empirical model for user registration patterns in a campus wireless lan (2005)

Wireless LAN Access Point Placement Based on User Mobility

Analysis of a Campus-Wide Wireless Network

Green WLANs: On-Demand WLAN Infrastructures

Performance improvements of communication-based train control (CBTC) systems with unreliable wireless networks

Mobility control for achieving optimal configuration in wireless sensor networks

On reducing delay in mobile data collection based wireless sensor networks

Band-based geocasting for mobile sink groups in wireless sensor networks

Model T: A model for user registration patterns based on campus WLAN data

Similar Documents

Model T: an empirical model for user registration patterns in a campus wireless LAN

Model t: an empirical model for user registration patterns in a campus wireless lan (2005)

Wireless LAN Access Point Placement Based on User Mobility

Analysis of a Campus-Wide Wireless Network

Green WLANs: On-Demand WLAN Infrastructures

Performance improvements of communication-based train control (CBTC) systems with unreliable wireless networks

Mobility control for achieving optimal configuration in wireless sensor networks

On reducing delay in mobile data collection based wireless sensor networks

Band-based geocasting for mobile sink groups in wireless sensor networks

Model T: A model for user registration patterns based on campus WLAN data