Study on the Adaptive Congestion Control Algorithms for Wireless Sensor Networks

2014 ◽  
Vol 989-994 ◽  
pp. 4493-4496
Author(s):  
Zhi Jing Zhang ◽  
Zeng Xin Xie
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Congestion Control ◽  
Network Performance ◽  
Wireless Sensor ◽  
Transmission Performance ◽  
Congestion Control Algorithm ◽  
Congestion Control Mechanism ◽  
Adaptive Congestion Control ◽  
Transmission Speed

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.

A Cross-Layer Congestion Control Algorithm Based on Traffic Prediction in Wireless Sensor Networks

2013 ◽  
Vol 397-400 ◽  
pp. 2641-2646 ◽  
Author(s):  
Yi Sun ◽  
Min Li ◽  
Peng Xu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Congestion Control ◽  
Control Algorithm ◽  
Control Mechanism ◽  
Wireless Sensor ◽  
Traffic Prediction ◽  
Cross Layer ◽  
Congestion Control Algorithm ◽  
Congestion Control Mechanism

Congestion in wireless sensor networks can affect the networks performance seriously,not only it has impact on data transmission and the quality of service, but also wastes energy and shortens the network lifetime. Aiming at this issue, this paper proposed a cross-layer congestion control algorithm based on traffic prediction (CCATP), it can take congestion mitigation measures in advance according to the prediction result. CCATP comprises three mechanisms: (i) congestion prediction; (ii) local congestion control mechanism based on backoff time adjustment; (iii) transmission route selection based global congestion control mechanism; Simulation experiment results show that CCATP can reduce the packet loss number and improve the energy efficiency significantly, so as to effectively improve the service performance of network.

An Improved Congestion Control Mechanism Based on Mobile Agent for Wireless Sensor Networks

2014 ◽  
Vol 519-520 ◽  
pp. 1239-1242
Author(s):  
Xiao Hu Yu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Congestion Control ◽  
Mobile Agent ◽  
Mobile Agents ◽  
Control Mechanism ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Routing Table ◽  
Congestion Control Mechanism

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.

Research of Hybrid Congestion Control Mechanism

2012 ◽  
Vol 426 ◽  
pp. 275-278
Author(s):  
Cheng Yu Lai ◽  
Xiao Guang Fu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Congestion Control ◽  
Energy Saving ◽  
Control Mechanism ◽  
Wireless Sensor ◽  
Forward Rate ◽  
Control Mechanisms ◽  
Channel Quality ◽  
Congestion Control Mechanism

In wireless sensor networks, congestion causes overall channel quality to degrade and loss rates to raise, leads to buffer drops and increased delays, and tends to be grossly unfair toward nodes whose data has to traverse a larger number of radio hops. Hybrid congestion control mechanisms relieve the congestion by creating the new path; when establishment of a new path is failed, fairness aggregate mechanisms limits forward rate, ensures that each source node sends data fairly. Based on energy-saving, algorithms for mild congestion have been improved.

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