NDLI: Service Discovery and Device Identification in Cognitive Radio Networks

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2010 Fifth IEEE Workshop on Networking Technologies for Software Defined Radio Networks (SDR)

2007 2nd IEEE Workshop on Networking Technologies for Software Define Radio Networks

Table of contents

Self-Learning Repeated Game Framework for Distributed Primary-Prioritized Dynamic Spectrum Access

Cross Layer Performance Evaluation of a Software Defined Radio UWB Receiver using Turbo Decoding

Analysis of Search Schemes in Cognitive Radio

SAFIRE: A Self-Organizing Architecture for Information Exchange between First Responders

A Study of Radio-information Services for Networks of Cognitive Radios

Service Discovery and Device Identification in Cognitive Radio Networks

A Mechanism for Detecting and Responding to Misbehaving Nodes in Wireless Networks

Concept of a Cross-Layer Design for Packet Routing in Vehicular Ad Hoc Networks

ProSe - A Programming Tool for Rapid Prototyping of Sensor Networks

Measurements on the Efficiency of Overlapping Channels

Efficient Broadcast Authentication for Wireless Sensor Networks

Concatenated Random Parity Forwarding in Wireless Sensor Networks

Using "Scaled Credit Payback" to Achieve Soft-fairness for Disruptive Radios in CSMA Networks

Service oriented wireless sensor networks - a cluster-based approach

Sensor Localization with Lateral Inhibition & Statistical Inference

SenNetSim: A GUI-Based Simulator for Sensor Networks

Author index

2006 1st IEEE Workshop on Networking Technologies for Software Defined Radio Networks

Service Discovery and Device Identification in Cognitive Radio Networks

Content Provider	IEEE Xplore Digital Library
Author	Miller, Rob Xu, Wenyuan Kamat, Pandurang Trappe, Wade
Copyright Year	2007
Description	Author affiliation: Wireless Information Network Laboratory (WINLAB), Rutgers University. Email: wenyuan@winlab.rutgers.edu (Xu, Wenyuan) \|\| Wireless Information Network Laboratory (WINLAB), Rutgers University. Email: pkamat@winlab.rutgers.edu (Kamat, Pandurang) \|\| Wireless Information Network Laboratory (WINLAB), Rutgers University (Miller, Rob) \|\| Wireless Information Network Laboratory (WINLAB), Rutgers University. Email: trappe@winlab.rutgers.edu (Trappe, Wade)
Abstract	Cognitive Radios (CR) will be able to communicate adaptively in an effort to optimize spectral efficiency. An integral step towards this goal involves obtaining a representative view of the various services operating in a local area. Although it is possible to load different software modules to identify each potential service, such an approach is needlessly inefficient. Instead, rather than use a collection of complete protocols on a CR, we believe that it is essential to have a separate identification module that is capable of reliably identifying services and devices while minimizing the code needed. In particular, by effectively leveraging protocol-specific properties, we show that it is possible to utilize data from narrowband spectral sampling in order to identify broader band services and individual devices. We demonstrate the feasibility of such service and device identification using GNU Radio and the Universal Software Radio Peripheral (USRP) platform by identifying radio services in the industrial, scientific, and medical (ISM) radio band. Further, we show that physical layer signatures may be used to reliably identify devices, thereby allowing CRs to exploit physical layer information in support of basic authentication functionality.
Starting Page	40
Ending Page	47
File Size	6370543
Page Count	8
File Format	PDF
ISBN	142441315X
e-ISBN	1424413168
DOI	10.1109/SDRN.2007.4348972
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Protocols Cognitive Radio Physical layer Spectral Sensing Object recognition Cognitive radio Narrowband Authentication Chromium Sampling methods Computer industry USRP GNU Radio Software radio
Content Type	Text
Resource Type	Article

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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
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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

Service Discovery and Device Identification in Cognitive Radio Networks

1 service discovery and device identification in cognitive radio networks.

Configure Cognitive Radio using GNU Radio and USRP

A PHY-layer Authentication Approach for Transmitter Identification in Cognitive Radio Networks

Supporting Integrated MAC and PHY Software Development for the USRP SDR

Physical Layer Spectrum Usage Authentication in Cognitive Radio: Analysis and Implementation

Energy detection sensing based on GNU radio and USRP: An analysis study

Blind Bandwidth Shape Recognition for Standard Identification Using USRP Platforms and SDR4all Tools

Experimental approach: energy-and-bandwidth spectrum sensing using GNU radio and USRP

Service Discovery and Device Identification in Cognitive Radio Networks

Similar Documents

Service Discovery and Device Identification in Cognitive Radio Networks

1 service discovery and device identification in cognitive radio networks.

Configure Cognitive Radio using GNU Radio and USRP

A PHY-layer Authentication Approach for Transmitter Identification in Cognitive Radio Networks

Supporting Integrated MAC and PHY Software Development for the USRP SDR

Physical Layer Spectrum Usage Authentication in Cognitive Radio: Analysis and Implementation

Energy detection sensing based on GNU radio and USRP: An analysis study

Blind Bandwidth Shape Recognition for Standard Identification Using USRP Platforms and SDR4all Tools

Experimental approach: energy-and-bandwidth spectrum sensing using GNU radio and USRP

Service Discovery and Device Identification in Cognitive Radio Networks