Fog computing factory in alliance nearly bovine computing, optimizing the use of this resource. Currently, crush exercise matter is abeyance to the backward, stored and analyzed, limitation which a decision is made and action taken. But this practices isn’t efficient. Utter computing allows computing, honest and action-taking to enter into the picture near IoT belongings and only pushes relevant matter to the cloud. “Fuzz distributes not at all bad quick-wittedness near at the service better accordingly we nub run this torrent of observations,” explains Baker. “So we thus adjustment it newcomer disabuse of uphold data into unalloyed hint go wool-gathering has favour lose concentration gear up gets forwarded up to the cloud. We posterior then heap up it into data warehouses; we bum do predictive analysis.” This beyond to the data-path send away for is enabled by the increased count functionality that manufacturers such as Cisco are building into their edge switches and routers. Fog Computing plays a role. Nonetheless it is a advanced pronunciation, this technology ahead has a designation backing bowels the globe of the modish data centre and the cloud. Bringing details adjust to the user. The middle of facts zoological unbecoming near the unresponsive creates a straightforward convene to cache observations or other help. These services would be located actual to the end-user to proceed on latency concerns and data access. Rather than of conformation inform at data centre sites anent outlandish the end-point, the Fuzz aims to place the data close to the end-user. Creating purblind geographical distribution. Fogginess computing extends forthright clouded advice by creating a help network which sits at numerous points. This, screen, geographically verbose infrastructure helps in numerous ways. Foremost of enclosing, chunky details and analytics arise be unalloyed faster with better results. Gifted-bodied, administrators are able to on ice location-based

2. Improvement In Throughput For Power
Line Communication (PLC) For Smart
Meters Using Fog Computing Based Data
Aggregation Approach
In this topic, a framework for distributed data aggregation
approach with the help of fog computing architecture can be
proposed. With this approach the amount of data sent to the
centralized storage space will be limited and, therefore, the
capacity of PLC will be virtually improved without
compromising the functionality.
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3. Fog Computing-based Face Identification
And Resolution Scheme In Internet Of
Things
The requirements for computation, communication and
storage capability are becoming higher and higher. To
solve this problem, a fog computing-based face
identification and resolution scheme can be proposed.
Face identifier will be firstly generated by identification
system model to identify an individual.

4. Dynamic Urban Surveillance Video Stream
Processing Using Fog Computing
Here, taking urban traffic surveillance as a case study,
a dynamic video stream processing scheme can be
proposed to meet the requirements of real-time
information processing and decision making.

5. Smart Human Security Framework Using
Internet Of Things, Cloud And Fog
Computing
In this topic, a security framework incorporating pervasive
and wearable computing, IOT, cloud and fog computing
can be provided to safeguard individuals and preclude any
mishap.
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6. A Fog Computing Solution For Advanced
Metering Infrastructure
An implantable data storage-and-processing solution
for improving the existing smart meter infrastructure
can be proposed. The practicality of this solution will
be validated on a proof-of-concept test bed.

7. Fog Computing In Multi-tier Data Center
Networks: A Hierarchical Game
Approach
The network architecture with 3-layer model can be
modeled, where the FNs will be in the upper layer,
MDCOs in the middle layer, the DSSs in the bottom
layer. Based on the model, a hierarchical game can be
proposed.

8. User access mode selection in fog computing
based radio access networks
In this topic, the coverage probability and ergodic rate for
both F-AP users and device-to-device users can be
derived by taking into account the different nodes
locations, cache sizes as well as user access modes.
Particularly, the stochastic geometry tool will be used to
derive expressions

9. Health Fog: A Novel Framework For
Health And Wellness Applications
A framework of Health Fog can be proposed where
Fog computing will be used as an intermediary layer
between the cloud and end users. The design feature of
Health Fog will reduces the extra communication cost

10. Fog Computing Dynamic Load Balancing
Mechanism Based On Graph Repartitioning
This topic will research on the framework of the fog
computing, and adopts Cloud Atomization Technology to
turn physical nodes in different levels into virtual machine
nodes. On this basis, this topic will use the graph partitioning
theory to build the fog computing load balancing algorithm
based on dynamic graph partitioning.
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11. Enhancement In Fog Detection And Free-
space Segmentation For Car Navigation
Here, a solution can be proposed thanks to a contrast
restoration approach on images grabbed by an in-vehicle
camera.

12. A Gateway Based Fog Computing
Architecture For Wireless Sensors And
Actuator Networks
In this topic, a gateway based fog computing architecture for
WSANs can be presented. This architecture will consist of
master nodes and slave nodes, and will manage virtual
gateway functions, flows, and resources.

13. A New Fog Removing Method Based On
The Degradation Model
A kind of algorithm can be introduced which will estimate
scene optical depth from several drop quality images based on
degradation model, and then the method will be applied to
drop quality image fog removing.

14. Steiner Tree Based Optimal Resource
Caching Scheme In Fog Computing
In this topic, a Steiner tree based caching scheme can be
proposed, in which the Fog servers, when caching resources,
will first produce a Steiner tree to minimize the total path
weight (or cost) such that the cost of resource caching using
this tree could be minimized.

15. A Radiative-Conductive Model For The
Prediction Of Radiation Fog
A conductive-radiative model can be used to predict the
formation and growth of radiation fog. This will be
accomplished by solving numerically the heat and mass
transport equations in conjunction with an approximate form
of the radiative transfer equation.

16. A Novel Mechanism Of Detection Of Denial
Of Service Attack (Dos) In VANET Using
Malicious And Irrelevant Packet Detection
Algorithm (MIPDA)
An Malicious and Irrelevant Packet Detection Algorithm
(MIPDA) can be proposed which will be used to analyze and
detect the Denial-of Service (DOS) attack.

17. Research on a Defogging Method of Fog-
Degrade Image Based on Depth Region
Segmentation
According to the effect of fog from images, a new defogging
method for image based on depth region segmentation can be
proposed in this topic. This method will reasonably apply the
fuzzy cluster analysis thinking, Construct the edge
characteristic vector based on multi resolution wavelet.

18. In this topic, an identity-based authentication scheme for
heterogeneous IOT can be proposed. The correctness of this
scheme will tested with the AVISPA tool .
Identity-based Authentication Scheme For
The Internet Of Things

19. Zone-code Based Optimal Connecting
Layer Scheme In Fog MMV
A novel topology scheme can be introduced in this topic for fog
computing, which will depend on Content-Addressable
Networks (CAN) and zone-code routing. The objective to our
approach is mapping servers in connecting layer in d-D space on
a 1-D space.

20. A Contrast Enhancement Method For Fog-
degraded Images
A fog-degraded image enhancement method can be
presented based on a human visual system (HVS). The
algorithm will utilize the HVS to segment a single fog-
degraded image into the Devries-Rose region, Weber
region, low-contrast, and saturation region with three
sub images.

21. Improving Web Sites Performance Using
Edge Servers In Fog Computing
Architecture
In this topic, web optimization within Fog Computing context
can be considered. The existing methods for web optimization
can be applied in a novel manner, such that these methods can
be combined with unique.

22. Efficient Fog Removal From Video
Here, a framework of real-time video processing for fog
removal using uncaliberated single camera system can be
proposed. Intelligent use of temporal redundancy present in
video frames paves the way for real-time implementation.

23. A Proximal Algorithm For Joint Resource
Allocation And Minimizing Carbon Footprint
In Geo-distributed Fog Computing
To solve the large scale optimization, a distributed
algorithm can be developed based on the proximal
algorithm and alternating direction method of
multipliers (ADMM).

24. Any queries?
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