Flying Ad hoc Network Projects

Flying Ad hoc Network Projects discusses the new idea to establish communication on uncrewed aerial vehicles (UAV), i.e., drones. Before we get to know about this area, the flying ad hoc network is FANET that hits reliability and stability in data exchange. As the name of UAV itself says that it is able to operate from remote areas. Also, it can follow a prior path to travel for data collection. 

How FANET stands unique from other ad hoc network?

   To be sure that not all the ad hoc projects could support FANET since the UAV uses the WiTi board to perform the data transmission. Also, note that it is capable of using both the bands of 2.4 GHz as well as 5 GHz. In this way, the FANET is capable for the purpose of surveillance. 

What are the Challenges in FANET?

• Mobility in 2D or 3D
• Moving Speed and direction 
• Frequent topology change
• Radio propagation 
• Retransmission in data routing 
• Energy consumption 

   Regardless, the data sharing handles on three such as First is UAV to user devices, second is UAV to the base station, and third is UAV to others.

   UAV is in a study on Flying Ad hoc Network Projects. The UAVs fly at different altitudes to monitor the below environment. By all means, it aids in the following applications. 

• Disaster monitoring
• Wildlife monitoring 
• Roadway vehicle traffic analysis
• Warfield surveillance
• Agricultural remote sensing  

   In general, the UAV is equipped with an exclusive type of sensors, cameras so that it could capture the events. Further, the common need for FANET performance is to improve the Quality of Service. For this purpose, the routing is a promising solution to enhance the QoS. Similar to body area network projects with hosted benefits. At the same time, the common classes of routing are static, proactive, reactive, and hybrid.

Five-Plus Key Metrics for Routing 

• Link strength or link success rate
• Speed, Energy, and also delay
• Mobility and Direction
• Trustworthy 
• Distance and Hop count 
• Line of Sight or Non-Line of Sight 

Routing schemes in Flying Ad hoc Network Projects 

• Q-learning with fuzzy logic
• Enhanced Fruit fly and Bee colony optimization
• Mobility aware gradient routing
• Stochastic packet forwarding 
• 3D graph routing 
• Multipath doppler routing 
• 3D geographical routing 
• Location with onion routing 

   Shortly the movement of UAV is on the basis of random, time, path, hybrid, and topology. In this way, the UAVs move over the sky by changing the speed and acceleration. It’s time to know the mobility models in FANET simulator.

Few of the Mobility Models in FANET

• Random based mobility model
• Random-waypoint model 
• Random direction mobility 
• Time-based mobility model
• Enhanced Gauss-Markov and 3D Gauss-Markov
• Smooth turn
• Path-based mobility model 
• SRCM
• PPRZM 
• Hybrid mobility model
• H3MP
• Multi-UAV Mobility
• Pheromone-based Model
• Paparazzi Mobility Model

   By now, it grows to support the internet of drones, things, edge computing, and others. At this point, we give you the possible paths in FANET.  

Multiple Directions in FANETs

• Clustering and Data collection
• Medium Access control protocol design 
• Data privacy and security 
• Scheduling timeslots
• Trajectory prediction and Localization
• Integration of mobile technology 

   To this end, we work on any type of network simulation tools. Not only as a tool but also if it needs to combine, then we do that too. Our straight goal is to satisfy you in all ways. On the whole, we are aware of all the corners of the tool; it is easy for us to do it.    

Start your session with us now to finish your work on time…….

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