Underwater Sensor Network Projects

Underwater Sensor Network Projects

Underwater Sensor Network Projects remain exciting due to environment causes. Underwater sensor network (UWSN) is a network that has a number sensors and vehicles to sense and collect data from underwater. In particular, a vehicle that put to use in UWSN is Unmanned Underwater Vehicles (UUV) or Autonomous Underwater Vehicles (AUV). AUV moves in and around the network for gathering data from the sensors.

In most cases, data collected from sensors may vary due to certain factors as follows
  • Salinity 
  • Temperature 
  • Pressure
  • Depth of Transceivers 
  • Environment Geometry 

   First of all, we discuss the communication types and modulation schemes. Then we talk over the issues and solutions. After that, we define the emerging trends. To this end, we put forward the list of tools for doing UWSN. 

UWSN COMMUNICATION TYPES AND RANGES

  • Radio Frequency (RF) [10-100m]
  • Magneto-Inductive (MI) []
  • Optical [10-100m]
  • Acoustic []
Research challenges and applications of underwater sensor network projects for research scholars

   As we know, at the bottom of the sea, the RF signals can travel only to a short distance. The optical signals cannot travel in an unfit medium. It is due to the diffusion of the optical signals. Acoustic signals throw less as compared to radio and optical. It results in better and more useful for UWSN. Similar to communication types, technologies are emerging in this field, too that is follows. 

MODULATION TECHNIQUES

  • Frequency Shift Keying (FSK)
  • Phase Shift Keying (PSK)
  • Multiple Frequency Shift Keying (MFSK)
  • Orthogonal Frequency Division Multiplexing (OFDM)
  • Direct Sequence Spread Spectrum (DSSS)
  • Frequency Hopped Spread Spectrum (FHSS)
  • Frequency and also Pulse Position Modulation (FPPM and PPM)

What are the Research Issues for Underwater Sensor Network Projects?

   Now, UWSN is facing many issues. For instance, sensors in underwater sensor network simulator are energy constraints and also movable. Thus, energy efficacy and mobility are the key issues in UWSN. Clearly, here we post you the main issues as follows. 

  • Limited Bandwidth
  • High Propagation Delay
  • 3D Topology
  • Medium Access Control
  • Routing
  • Resource Utilization
  • Mobility Prediction
  • Power and also Energy Constraints
  • Localization & Optimal Packet Size Selection 

   To tell the truth, inside of every issue lies a solution. All the issues are line up between process and method. If you don’t know about that, it does not matter as we know, the best way to solve them by novel thoughts for your underwater sensor network projects.

PROMISING SOLUTIONS 

  • Energy Efficient Clustering 
  • Gateway Placement 
  • AUV Trajectory Prediction
  • Range / Range-Free Localization 
  • Data Collection by Multi-AUVs
  • Inter-Cluster and also Multihop Routing 

   If your choice is an issue and solution from the above, then we suggest you the best of best method. It is nearly picked from the current years and months. Since we make a note from the survey. It shows both the positivity and negativity sides of each method. Let’s look down as we list the key ideas and tools of UWSN. 

UWSN EMERGING TRENDS 

  • Energy Equation under Internet of Underwater Things 
  • Dynamic Mobility Prediction over Mobile UWSN 
  • Localization under 3D UWSN through Projection
  • Void Hole Alleviation in Underwater IoT WSN
  • Target Search by Multi-AUV in Unknown Field 

LIST OF TOOLS AND LANGUAGES SUPPORTS UWSN

  • NS2 (C, C++, and also oTCL)
  • NS3 (C++, and Python)
  • UWSim (C#, .NETframework)
  • AQUA-Sim (C, C++, and also oTCL)
  • USNeT (C)
  • UANT (C++)
  • SUNRISE (C, C++, and also oTCL)
  • AQUA-Tools (C, C++, and also oTCL)

   To conclude our talk, this reading helps students and scholars in the field of UWSN. In truth, it is a base to gain skills that you want in your area. We put your needs in the first place. As a result, we would not think to request you more money. Last but not least, we must thank our clients for sharing their thoughts and trusting us for projects with our phd guidance. They are connecting with us for a long time. We give hope, so you render your work for the right person.

Live Tasks
Technology Ph.D MS M.Tech
NS2 75 117 95
NS3 98 119 206
OMNET++ 103 95 87
OPNET 36 64 89
QULANET 30 76 60
MININET 71 62 74
MATLAB 96 185 180
LTESIM 38 32 16
COOJA SIMULATOR 35 67 28
CONTIKI OS 42 36 29
GNS3 35 89 14
NETSIM 35 11 21
EVE-NG 4 8 9
TRANS 9 5 4
PEERSIM 8 8 12
GLOMOSIM 6 10 6
RTOOL 13 15 8
KATHARA SHADOW 9 8 9
VNX and VNUML 8 7 8
WISTAR 9 9 8
CNET 6 8 4
ESCAPE 8 7 9
NETMIRAGE 7 11 7
BOSON NETSIM 6 8 9
VIRL 9 9 8
CISCO PACKET TRACER 7 7 10
SWAN 9 19 5
JAVASIM 40 68 69
SSFNET 7 9 8
TOSSIM 5 7 4
PSIM 7 8 6
PETRI NET 4 6 4
ONESIM 5 10 5
OPTISYSTEM 32 64 24
DIVERT 4 9 8
TINY OS 19 27 17
TRANS 7 8 6
OPENPANA 8 9 9
SECURE CRT 7 8 7
EXTENDSIM 6 7 5
CONSELF 7 19 6
ARENA 5 12 9
VENSIM 8 10 7
MARIONNET 5 7 9
NETKIT 6 8 7
GEOIP 9 17 8
REAL 7 5 5
NEST 5 10 9
PTOLEMY 7 8 4

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