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Home » Archives for NS2 Simulator Project Team » Page 7

New technologies and perspectives for laboratory practices in Measurement science

by NS2 Simulator Project Team | Oct 14, 2015 | WIRELESS SENSOR NETWORK NS2

Laboratory practices are very important activities in BSc (Bachelor of Science) and MSc (Master of Science) engineering courses involving concepts of Measurement Science, because they give to both undergraduate and graduate students the unique opportunity to verify...

Analysis of environmental measurements using variograms

by NS2 Simulator Project Team | Oct 14, 2015 | WIRELESS SENSOR NETWORK NS2

This contribution addresses the critical question of sampling rates used to measure variables of interest by cyberphysical and environmental monitoring systems. The data used in this analysis were measured and recorded in a Brazilian forest canopy between 2007 and...

Performance of a radiation pattern steering on-body gateway antenna for on-body and off-body propagation

by NS2 Simulator Project Team | Oct 14, 2015 | WIRELESS SENSOR NETWORK NS2

Antennas in Body Area Networks (BAN) should be designed according to the link they are expected to form. In most of the systems, an on-body gateway collects data frames from other on-body sensorsand relays them to an off-body gateway, realizing two different modes of...

A Variable Step-Size Diffusion LMS Algorithm for Distributed Estimation

by NS2 Simulator Project Team | Oct 14, 2015 | WIRELESS SENSOR NETWORK NS2

We propose a new variable step-size diffusion least mean square algorithm for distributed estimation that adaptively adjusts the step-size in every iteration. For a network application, the proposed method determines a suboptimal step-size at each node to minimize the...

Multi-rate distributed fusion estimate of sensor networks based on descriptor system

by NS2 Simulator Project Team | Oct 14, 2015 | WIRELESS SENSOR NETWORK NS2

This paper presents a distributed estimate and fusion algorithm for the sensor networks whose nodes obey the descriptor system model. Firstly, the singular value decomposition is used to transform the singular system into two equivalent reduced order sub-systems,...
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