PROJECT TITLE :

On the Quality and Timeliness of Fusion in a Random Access Sensor Network

ABSTRACT:

In this letter, we have a tendency to investigate the trade-off between the quality of multi-sensor fusion call and also the delay of making that call during a random access sensor network in a very explicit setting where the correlation between 2 sensor observations decreases with the increasing distance between these sensors. We propose a system operation whereby the nodes located in an exceedingly tiny neighborhood of a sensor node that has successfully transmitted its decision to the fusion center are deactivated to reduce the contention over the random access channel. We have a tendency to propose a utility function that involves the standard and timeliness of the decision and verify the optimal size of this neighborhood analytically beneath a Markovian system operation model and numerically by simulating the actual system operation. These experiments demonstrate how our model can be used to set this neighborhood size before data assortment to attain a desired trade-off between decision quality and timeliness.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE :GI primarily based Management Scheme for Single Stage Grid Interfaced SECS for Power Quality ImprovementABSTRACT:This paper presents an improved generalized integrator (GI)-based control with a frequency locked
PROJECT TITLE :QMSampler: Joint Sampling of Multiple Networks with Quality Guarantee - 2018ABSTRACT:As a result of On-line Social Networks (OSNs) have become increasingly vital within the last decade, they need motivated a great
PROJECT TITLE :SPSIM A Superpixel-Based Similarity Index for Full-Reference Image Quality Assessment - 2018ABSTRACT:Full-reference image quality assessment algorithms typically perform comparisons of features extracted from sq.
PROJECT TITLE :NIQSV+ A No-Reference Synthesized View Quality Assessment Metric - 2018ABSTRACT:Benefiting from multi-read video and depth and depth-image-based mostly-rendering technologies, only limited views of a real 3-D scene
PROJECT TITLE :Feature Map Quality Score Estimation Through Regression - 2018ABSTRACT:Understanding the visual quality of a feature map plays a important role in many active vision applications. Previous works mostly rely on object-level

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry