Project centers in Chennai

IEEE Final Year Project Topics for CSE

Base Paper Title

Fog-based Optimized Kronecker-SupportedCompression Design for Industrial IoT

Our Title

IEEE Project Abstract

Although current proposed compression schemes achieve better performance than traditional data compression schemes,they have not fully exploited the spatial and temporal correlations among the data, and the design of the projection (measurement)matrix cannot satisfy the requirement of real scenarios adaptively. Hence, well-designed clustering algorithm is needed to furtherexplore strong spatial correlation, and an adaptive measurement matrix is also needed to ensure exact data recovery. In this paper, wepropose a fog-based optimized Kronecker-supported compression scheme to address above shortcomings and achieve bettercompression results in the industrial Internet of Things (IIoT). Our scheme first leverages a k-means-based clustering algorithm thatexplores the spatial correlation among sensory data, which can obtain better compression effects with less communication overhead. Itthen develops a novel Kronecker-supported two-dimensional data compression mechanism at the fog node, which can ensure therecovery of the original data from the compressed data with high precision; this mechanism can also reduce the communicationoverhead between fog and cloud nodes significantly. Next, a Kronecker concatenated measurement matrix optimization problem isformulated for meeting the requirement of real scenarios adaptively, and an efficient solution algorithm is developed to obtain theoptimal value and ensure that the stringent precision requirements of industrial applications are satisfied. Finally, simulation resultsshow that our proposed scheme is energy efficient and can achieve better clustering results and recovery performance for sensorydata, for example, the energy consumption is reduced by 6.8% after clustering operation, and the relative reconstruction error oftemperature data is improved by an average of 15.8% with the same energy saving effect.

Existing System

Drawback of Existing System

Proposed System

Advantage of Proposed System

Enhancement from Base Paper

Architecture

Technology Used : Hardware & Software

Existing Algorithm

Proposed Algorithm

Advantages of Proposed Algorithm

Project Modules

Literature Survey

Conclusion

Future Work

To View the Abstract Contents

Exclusive
Offer
Refer Your Friend
10%
CASHBACK
Refer Another Friend
Thanks for Referring Your Friend / Relation

Now it is Your Time to Shine.

Great careers Start Here.

We Guide you to Every Step

Success! You're Awesome

Thank you for filling out your information!

We’ve sent you an email with your Final Year Project PPT file download link at the email address you provided. Please enjoy, and let us know if there’s anything else we can help you with.

To know more details Call 900 31 31 555

The WISEN Team