Paper Info
Title
Hop-by-hop congestion control and load balancing in wireless sensor networks
Abstract
Due to the relatively high node density and source-to-sink communication pattern, wireless sensor networks (WSNs) are subject to congestion and packet losses. Further, the availability of low-cost hardware, such as Cyclops cameras, is promoting wireless multimedia sensing to support, for example, visual surveillance. As a result, congestion control is becoming more critical in WSNs. In this paper, we present a lightweight distributed congestion control method in WSNs. We develop new metrics to detect congestion in each node by considering the queue lengths and channel conditions observed in the one-hop neighborhood. Based on the estimated level of congestion, each node dynamically adapts its packet transmission rate and balance the load among the one-hop neighbors to avoid creating congestion and bottleneck nodes. In a simulation study performed in OMNeT++, our approach significantly enhances the end-to-end (e2e) packet delivery ratio and reduces the e2e delay without increasing the total energy consumption compared to the tested baseline approach.
Year
DOI
Venue
2010
10.1109/LCN.2010.5735758
Local Computer Networks
Keywords
Field
DocType
distributed control,multimedia communication,telecommunication congestion control,wireless channels,wireless sensor networks,OMNeT++,channel condition,e2e delay,energy consumption,hop by hop congestion control,lightweight distributed congestion control,load balancing,low cost hardware,packet transmission rate,source to sink communication pattern,wireless multimedia sensing,wireless sensor network,Congestion Avoidance,Fuzzy Logic Control,Load Balancing
Load management,Bottleneck,Wireless,Computer science,Load balancing (computing),Network packet,Computer network,Real-time computing,Flow control (data),Network congestion,Wireless sensor network,Distributed computing
Conference
ISSN
ISBN
Citations 
0742-1303
978-1-4244-8387-7
9
PageRank 
References 
Authors
0.59
17
3
Name
Order
Citations
PageRank
Can Başaran1312.36
Kyoung-Don Kang256337.51
Mehmet H. Suzer390.59