Rate Optimization Congestion Control Protocol for Wireless Sensor Networks

2011 ◽  
Vol 311-313 ◽  
pp. 1642-1647
Author(s):  
Ping Ping Xiao ◽  
Yan Tao Tian
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Congestion Control ◽  
Control Algorithm ◽  
Cluster Structure ◽  
Wireless Sensor ◽  
Maximum Utility ◽  
Congestion Control Algorithm ◽  
Rate Optimization ◽  
Essential Problem

Congestion is an essential problem in wireless sensor networks. In view of resolving the problem of congestion, a novel congestion control algorithm is proposed based on rate optimization. It performs the estimation of congestion level in the cluster and between the clusters based on the distribution of queue length of the node, and uses the maximum utility function to optimize the sending rate of source nodes. In addition, the algorithm adopts the cluster structure to prolong the system lifetime. The simulation results show that ROCC can prevent effectively and alleviate the congestion, and dynamic adjust the sending rate of source nodes while controlling congestion.

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.

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