scholarly journals Adaptive-Compression Based Congestion Control Technique for Wireless Sensor Networks

Sensors ◽  
2010 ◽  
Vol 10 (4) ◽  
pp. 2919-2945 ◽  
Author(s):  
Joa-Hyoung Lee ◽  
In-Bum Jung
Author(s):  
Sangeetha Ganesan ◽  
Vijayalakshmi Muthuswamy ◽  
Ganapathy Sannasi ◽  
Kannan Arputharaj

Congestion control is an important factor for performance improvement in wireless sensor networks (WSNs). Congestion occurs due to various reasons including a variation in the data rate between incoming and outgoing links, buffer size, flooding attacks and multiple inputs and minimum output capability. Various outcomes of congestion in sensor networks include immense packet loss or packet drop, fast energy depletion, unfairness across the network, reduced node performance and increased delay in packet delivery. Hence, there is an extreme need to check channel congestion in order to enhance the performance with better congestion management. The job of choosing a suitable congestion control technique is a challenging task for the network designer. In this article, the authors traverse through the underlying conceptual ideas on congestion control schemes which come under six unique models. This article highlights a survey on the existing works done so far on congestion control domains in sensor networks. A comparative analysis based on Quality of Service parameters has been discussed.


2020 ◽  
pp. 1194-1214
Author(s):  
Sangeetha Ganesan ◽  
Vijayalakshmi Muthuswamy ◽  
Ganapathy Sannasi ◽  
Kannan Arputharaj

Congestion control is an important factor for performance improvement in wireless sensor networks (WSNs). Congestion occurs due to various reasons including a variation in the data rate between incoming and outgoing links, buffer size, flooding attacks and multiple inputs and minimum output capability. Various outcomes of congestion in sensor networks include immense packet loss or packet drop, fast energy depletion, unfairness across the network, reduced node performance and increased delay in packet delivery. Hence, there is an extreme need to check channel congestion in order to enhance the performance with better congestion management. The job of choosing a suitable congestion control technique is a challenging task for the network designer. In this article, the authors traverse through the underlying conceptual ideas on congestion control schemes which come under six unique models. This article highlights a survey on the existing works done so far on congestion control domains in sensor networks. A comparative analysis based on Quality of Service parameters has been discussed.


2012 ◽  
Vol 40 (14) ◽  
pp. 47-55 ◽  
Author(s):  
U. Urathalalias ◽  
Swathiga Swathiga ◽  
C. Chandrasekar

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.


Sign in / Sign up

Export Citation Format

Share Document