Fuzzy based adaptive congestion control in wireless sensor networks

Author(s):  
Saurabh Jaiswal ◽  
Anamika Yadav
2014 ◽  
Vol 989-994 ◽  
pp. 4493-4496
Author(s):  
Zhi Jing Zhang ◽  
Zeng Xin Xie

As the study on and promotion of wireless sensor networks (WSN) are deepening, people have increasingly higher requirements for the transmission speed and transmission performance of wireless sensor networks. Network congestion is an important factor of the transmission performance of a network, so congestion control becomes a hot research topic in the studies on the improvement of WSN services. Based on the study on WSN congestion control mechanism, this paper proposes an adaptive congestion control algorithm and simulates the algorithm. The simulation result shows that this algorithm can ensure stable network performance.


2014 ◽  
Vol 519-520 ◽  
pp. 1239-1242
Author(s):  
Xiao Hu Yu

An improved congestion control mechanism based on mobile agent for wireless sensor networks is proposed, which includes node-level congestion and link-level congestion control. The formers congestion information is collected and distributed by mobile agents (MA). When mobile agent travels through the networks, it can select a less-loaded neighbor node as its next hop and update the routing table according to the nodes congestion status. Minimum package of node outgoing traffic was preferentially transmitted in the link-level congestion. Simulation result shows that proposed mechanism attains high delivery ratio and throughput with reduced delay when compared with the existing technique.


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