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Search Publications by: Kamran Sayrafian (Fed)

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Displaying 76 - 98 of 98

Towards Evolutionary-Pricing Framework for Mobile Sensor Network Self-organization

July 18, 2010
Author(s)
Vladimir V. Marbukh, Kamran Sayrafian, Hamid Mahboubi, Ahmadreza Momeni, Amir G. Aghdam
This paper reports on work in progress on developing a unified co-evolutionary/pricing framework for Mobile Sensor Networks (MSN) self-organization. MSN self-organization involves cooperative sensor positioning and formation of a multi-hop Mobile Ad-hoc

Optimal Target Tracking Strategy with Controlled Node Mobility in Mobile Sensor Networks

June 30, 2010
Author(s)
Kamran Sayrafian, Vladimir V. Marbukh, Hamid Mahboubi, Ahmadreza Momeni, Amir G. Aghdam
This paper is concerned with target tracking using a network of collaborative sensors. The objective is to compute (online) the desired sensing and communication radii of sensors as well as their location at each time instant, such that a set of prescribed

Statistical Modeling of Harvestable Kinetic Energy for Wearable Medical Sensors

June 15, 2010
Author(s)
Nathalie Yarkony, Kamran Sayrafian, Antonio Possolo
Energy Harvesting (EH) refers to the process of capturing and storing energy from external sources or ambient environment. Kinetic energy harvested from the human body motion seems to be one of the most convenient and attractive solution for wearable

A Statistical Path Loss Model for Medical Implant Communication Channels

September 16, 2009
Author(s)
Kamran Sayrafian, Wen-Bin Yang, John G. Hagedorn, Judith E. Terrill, Kamya Yazdandoost
Knowledge of the propagation media is a key step toward a successful transceiver design. Such information is typically gathered by conducting physical experiments, measuring and processing the corresponding data to obtain channel characteristics. In case

A Robust Model-Based Approach to Indoor Positioning Using Signal Strength

September 9, 2008
Author(s)
Kamran Sayrafian, Dominik Kasper
A simple technique to estimate the position of a mobile node inside a building is based on the Received Signal Strength (RSS). In previous publications, we investigated the effectiveness of using circular array antennas and beamforming in order to enable

Clustering Characteristics of Millimeter Wave Indoor Channels

April 8, 2008
Author(s)
Kamran Sayrafian, Behnam Neekzad, John Baras
Temporal-Angular channel sounding measurements of an indoor millimeter wave channel (60 GHz) is analyzed to determine whether ray arrivals at the receiver form clusters in the two-dimensional time-angle space. The channel behavior for directional antennas

Indoor Localization: Technology That Can Save First Responder Lives

December 1, 2007
Author(s)
Nader Moayeri, Camillo A. Gentile, Kamran Sayrafian, Michael R. Souryal
Every year a number of first responders lose their lives while battling fires or rescuing civilians during such emergencies. Indoor localization or location tracking roughly provides the same capability inside buildings that GPS does outdoors. It allows a

A Novel Model-Based Indoor Positioning Using Signal Strength

September 3, 2007
Author(s)
Kamran Sayrafian, D Kaspar
A simple technique to estimate the position of a mobile node inside a building is based on the Received Signal Strength (RSS). In a previous publication, we investigated the feasibility of using circular array antennas and beamforming in order to enable an

Robust Indoor Positioning Based on Received Signal Strength

July 10, 2007
Author(s)
Kamran Sayrafian, Julio Perez
RF-based indoor positioning is a challenging task due to the harsh indoor propagation environment. Techniques based on the received signal strength are simple to implement and offer low cost and effective alternatives for some applications. The main

Source-Assisted Direction Estimation Inside Buildings

April 11, 2006
Author(s)
Kamran Sayrafian, D Kaspar
Source direction estimation inside building is a difficult and challenging task due to severe multipath signal propagation. Numerous algorithms and techniques exist that provide high-resolution direction estimation under certain conditions and channel

Application of Beamforming in Wireless Location Estimation

January 1, 2006
Author(s)
Kamran Sayrafian, D Kaspar
We have implemented a quantum key distribution (QKD) system with polarization encoding at 850 nm over 1 km of optical fiber. The high-speed management of the bit-stream, generation of random numbers and processing of the sifting algorithm are all handled

Source-Assisted Direction Estimation Inside Buildings

January 1, 2006
Author(s)
Kamran Sayrafian, D Kaspar
We have implemented a quantum key distribution (QKD) system with polarization encoding at 850 nm over 1 km of optical fiber. The high-speed management of the bit-stream, generation of random numbers and processing of the sifting algorithm are all handled

Indoor Positioning Using Spatial Power Spectrum

October 1, 2005
Author(s)
Kamran Sayrafian, D Kaspar
A simple technique to estimate the position of a given mobile source inside a building is based on the received signal strength. For this methodology to have a reasonable accuracy, radio visibility of the mobile by at least three access points is required

Indoor Positioning Using Spatial Spectrum

September 7, 2005
Author(s)
Kamran Sayrafian
We have implemented a quantum key distribution (QKD) system with polarization encoding at 850 nm over 1 km of optical fiber. The high-speed management of the bit-stream, generation of random numbers and processing of the sifting algorithm are all handled

Application of Beamforming in Wireless Location Estimation

July 1, 2005
Author(s)
Kamran Sayrafian
We have implemented a quantum key distribution (QKD) system with polarization encoding at 850 nm over 1 km of optical fiber. The high-speed management of the bit-stream, generation of random numbers and processing of the sifting algorithm are all handled

Evaluation of Indoor Localization Techniques

July 1, 2005
Author(s)
Camillo Gentile, Kamran Sayrafian, Nader Moayeri
We have implemented a quantum key distribution (QKD) system with polarization encoding at 850 nm over 1 km of optical fiber. The high-speed management of the bit-stream, generation of random numbers and processing of the sifting algorithm are all handled