NDLI: A Real-Time Algorithm for Long Range Signal Strength Prediction in Wireless Networks

Content Provider	IEEE Xplore Digital Library
Author	Xiaobo Long Sikdar, B.
Copyright Year	2008
Description	Author affiliation: Rensselaer Polytech. Inst., Troy (Xiaobo Long; Sikdar, B.)
Abstract	Prediction of rapidly time variant fading channel conditions enables adaptive data transmission in wireless systems, which in turn improves the quality of service for end users and reduces the power consumption for data transmissions. In this paper, we construct an accurate, low-complexity, on-line prediction mechanism for the long range prediction of wireless link quality. Our method is independent of the propagation environment and distance between user nodes and the access points. The proposed method uses past measurements of the received signal strength as its input, and uses a combination of segmentation, filtering and regression to predict the future trend in the received signal strength. An adaptive windowing mechanism is designed to adapt to abrupt changes in the data trace, which considerably reduces the prediction error. The algorithm is tested on real life networks in diverse environments. The prediction results are compared with one of the best existing channel prediction algorithm. We show that our algorithm can be used as a robust and comparatively more accurate predictor.
Starting Page	1120
Ending Page	1125
File Size	139690
Page Count	6
File Format	PDF
ISBN	9781424419975
ISSN	15253511
DOI	10.1109/WCNC.2008.202
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless networks Fading Data communication Prediction methods Real time systems Energy consumption Life testing Communications Society Computer networks Power engineering computing
Content Type	Text
Resource Type	Article

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

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