CLUSTERING ROUTING PROTOCOL BASED ON GAME THEORY IN WIRELESS SENSOR NETWORKS

2021 ◽  
Vol 36 (0) ◽  
Keyword(s):  
Game Theory ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Wireless Sensor

scholarly journals A Game Theory-Based Obstacle Avoidance Routing Protocol for Wireless Sensor Networks

Sensors ◽  
2011 ◽  
Vol 11 (10) ◽  
pp. 9327-9343 ◽  
Author(s):  
Xin Guan ◽  
Huayang Wu ◽  
Shujun Bi
Keyword(s):  
Game Theory ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Obstacle Avoidance ◽  
Routing Protocol ◽  
Wireless Sensor

scholarly journals An Evaluation on Game Theory Problem of RSSI Localization Technique in Wireless Sensor Networks

2019 ◽  
Vol 8 (12) ◽  
pp. 5729-5733
Keyword(s):  
Game Theory ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Life Time ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Essential Requirement ◽  
Localization Technique ◽  
Research Areas

The most interesting and challenging research areas in WSNs are routing protocol based on RSSI localization technique in wireless sensor networks. Get-up-and-go safeguarding is the most important experiment for WSNs and make the most of the energy efficiently during routing is an essential requirement and is a demanding task for all other research areas in WSNs. Enhancing the lifespan of the network be contingent on game theory based on RSSI localization technique in wireless sensor networks are the foremost purposes in Machiavellian WSNs since the course-plotting up for theory based on RSSI sensor nodes are battery operated and cannot be replenished or recharged frequently. Here game theory based on RSSI localization for increasing the Wireless Sensor Network life-time using Ant Colony Optimization metaheuristics.

Independent Grid Structure-Based Routing Protocol in Wireless Sensor Networks

2013 ◽  
Vol E96.B (1) ◽  
pp. 309-312 ◽  
Author(s):  
Euisin LEE ◽  
Soochang PARK ◽  
Hosung PARK ◽  
Sang-Ha KIM
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Wireless Sensor ◽  
Grid Structure

Performance Analysis of TBC-ACO Routing Protocol with Existing Routing Protocols of Wireless Sensor Networks

2017 ◽  
Vol 7 (8) ◽  
pp. 169
Author(s):  
A. Radhika ◽  
D. Haritha
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Swarm Intelligence ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Congestion Aware

Wireless Sensor Networks, have witnessed significant amount of improvement in research across various areas like Routing, Security, Localization, Deployment and above all Energy Efficiency. Congestion is a problem of  importance in resource constrained Wireless Sensor Networks, especially for large networks, where the traffic loads exceed the available capacity of the resources . Sensor nodes are prone to failure and the misbehaviour of these faulty nodes creates further congestion. The resulting effect is a degradation in network performance, additional computation and increased energy consumption, which in turn decreases network lifetime. Hence, the data packet routing algorithm should consider congestion as one of the parameters, in addition to the role of the faulty nodes and not merely energy efficient protocols .Nowadays, the main central point of attraction is the concept of Swarm Intelligence based techniques integration in WSN.  Swarm Intelligence based Computational Swarm Intelligence Techniques have improvised WSN in terms of efficiency, Performance, robustness and scalability. The main objective of this research paper is to propose congestion aware , energy efficient, routing approach that utilizes Ant Colony Optimization, in which faulty nodes are isolated by means of the concept of trust further we compare the performance of various existing routing protocols like AODV, DSDV and DSR routing protocols, ACO Based Routing Protocol  with Trust Based Congestion aware ACO Based Routing in terms of End to End Delay, Packet Delivery Rate, Routing Overhead, Throughput and Energy Efficiency. Simulation based results and data analysis shows that overall TBC-ACO is 150% more efficient in terms of overall performance as compared to other existing routing protocols for Wireless Sensor Networks.

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