Title
Queue-based congestion detection and multistage rate control in event-driven wireless sensor networks.
Abstract
Protocols for sensor networks have traditionally been designed using the best effort delivery model. However, there are many specific applications that need reliable transmissions. In event-driven wireless sensor networks, the occurrence of an event may generate a large amount of data in a very short time. Among them, some critical urgent information needs to be transmitted reliably in a timely manner. In this scenario, congestion is inevitable because of the constraints in available resources. How to control the congestion is very important for the reliable transmission of urgent information. To address this problem, we propose a queue-based congestion detection and a multistage rate control mechanism. In our proposed mechanism, not only the current queue length but also the queue fluctuation are adopted as indications of congestion. Each sensor node evaluates its congestion level locally and determines its congestion state with a state machine. We design a multistage rate adjustment mechanism for nodes to adjust their rates depending on their congestion states. We also distinguish high-priority critical traffic from low-priority non-critical traffic. Extensive simulation results confirm the superior performance of our proposed protocol with respect to throughput, loss probability, and delay.Copyright (c) 2012 John Wiley & Sons, Ltd.
Year
DOI
Venue
2014
10.1002/wcm.2239
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
Keywords
Field
DocType
queue fluctuations,rate control,congestion,event-driven wireless sensor networks
Sensor node,Best-effort delivery,Weighted random early detection,Active queue management,Computer science,Queue,Computer network,Real-time computing,Flow control (data),Network congestion,Wireless sensor network
Journal
Volume
Issue
ISSN
14.0
8.0
1530-8669
Citations 
PageRank 
References 
1
0.35
16
Authors
3
Name
Order
Citations
PageRank
Lulu Liang1111.96
Deyun Gao255853.39
Victor C. M. Leung39717759.02