Game Theory Network Routing Projects

Game Theory Network Routing Projects

Game Theory Network Routing Projects addresses to provide sender-receiver data transmission in any wireless network. Game theory is an interactive model that makes the decision for complex systems too. As a matter of fact, routing plays the main role in network using which the data from one device reaches the other. 

Which type of network use Game Theory by more? 

   In truth, the game theory adapts to almost all the wireless networks. To be sure it is on sensor networks, that is to attain better performance. In this way, it improves the delivery ratio and, on the other hand, lows down energy usage. Hence the game theory allows designing a routing protocol that is robust. 

Does the Game theory have benefits on Network Routing?

  Yes, of course, it has. They are, 
  • Adaptable for Realistic network i.e., Dynamic
  • Meets different traffic flows
  • Shortened time to establish a route
  • Minimization of end-to-end delay 
  • Enrichment of network lifetime 

   Since the topic of routing is chief in a network, the game theory gains more attention. To this point, let us give you the three types in it such as cooperative, non-cooperative, and evolutionary. You can study it from our Game Theory Network Routing Projects. In detail, we give the info below. 

Detailed study applications to build energy efficient game theory network routing projects

Characteristics of Each Game Theory 

  • Cooperative 
  • Coalitional between input players
  • Takes into the account of preferences 
  • Bid with mutual requirements
  • For example: 
  • Reliable Coalition Routing 
  • Probabilistic routes with Stochastic game 
  • And others 
  • Non-Cooperative
  • Bargaining procedure 
  • Uses network status 
  • Validate with Nash Equilibrium 
  • For example: 
  • Cooperation Optimal Protocol for Multirate Opportunistic 
  • Stackelberg Game theory with energy efficiency  
  • And so on
  • Evolutionary 
  • Preferences not required 
  • Game and Replicator rules give a stable strategy 
  • Any type of equilibrium 
  • For example: 
  • Evolutionary Routing Game
  • Game theory routing with k-means clustering
  • And many more 

   The five key terms to be in the note of Game Theory are 1. Players, 2. State, 3. Action, 4. Strategy, and 5. Equilibrium. Above all, the games are also of static, dynamic, zero-sum, and non-zero-sum & more. Even with, it prefers a route on the basis of a metric. The metric can be of any as underneath.   

Criteria based Routing by Game Theory 

  • Quality of Service 
  • The trustworthiness of the node
  • Network node behavior 
  • Cost-based route 
  • Energy remained in a node 

Why Game Theory Uses Optimization?  

   The game theory brings out prime choices for routing. Hence it is a type of optimization. At this time, the optimization combines with the game theory that is able to define one and multiple objectives. Hence the idea of this will be the best route selection in the network. To this end, the issues of game theory solve by anyone of the following method.  

Optimization in Game Theory Network Routing Projects 

  • Shuffled Frog Leaping 
  • Coral Reefs Optimization 
  • Ant and Bee Colony algorithm 
  • Grey wolf and also PSO 
  • Fuzzy ABC and ACSRO 
  • Moth flame algorithm 
  • And so on 

   As we say above, the objective depends on network demands. In order to take corrective actions, the states of the player can be found from any one of the optimizations. Since the route between two nodes will transfer any type of data as sensing reports, live info, video, and so on with our PhD guidance in video streaming. If we define a strong objective, then the route will also assure for data transfer.

   Whatever the network may be, it needs a single hop or multi-hop path. So far, the data from a node sent only through a route, and hence it is mandated. From here, the main networks are in the list below.   

Other Networks that make use of Game Theory 

   Beyond this, the game theory also offers to aid with the detection of fault, grouping, select ahead, and more. All in all, we help in all sorts of routing in networks. On the whole, we hope you gain a lot of ideas to work in this area. By still, it is hard while you work alone so that you can take our aid from start to the end.

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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