Next Article in Journal
Turbidimeter Design and Analysis: A Review on Optical Fiber Sensors for the Measurement of Water Turbidity
Previous Article in Journal
Fluorescence Enhancement of Fluorescein Isothiocyanate-Labeled Protein A Caused by Affinity Binding with Immunoglobulin G in Bovine Plasma
Article Menu

Export Article

Open AccessArticle
Sensors 2009, 9(10), 8278-8310;

Cross-Layer Active Predictive Congestion Control Protocol for Wireless Sensor Networks

School of Instrument Science and Opto-electronics Engineering, Beijing University of Aeronautics and Astronautics (Beihang University), Beijing 100191, China
School of Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
Author to whom correspondence should be addressed.
Received: 29 July 2009 / Revised: 18 September 2009 / Accepted: 25 September 2009 / Published: 20 October 2009
(This article belongs to the Section Chemical Sensors)
View Full-Text   |   Download PDF [1292 KB, uploaded 21 June 2014]


In wireless sensor networks (WSNs), there are numerous factors that may cause network congestion problems, such as the many-to-one communication modes, mutual interference of wireless links, dynamic changes of network topology and the memory-restrained characteristics of nodes. All these factors result in a network being more vulnerable to congestion. In this paper, a cross-layer active predictive congestion control scheme (CL-APCC) for improving the performance of networks is proposed. Queuing theory is applied in the CL-APCC to analyze data flows of a single-node according to its memory status, combined with the analysis of the average occupied memory size of local networks. It also analyzes the current data change trends of local networks to forecast and actively adjust the sending rate of the node in the next period. In order to ensure the fairness and timeliness of the network, the IEEE 802.11 protocol is revised based on waiting time, the number of the node‟s neighbors and the original priority of data packets, which dynamically adjusts the sending priority of the node. The performance of CL-APCC, which is evaluated by extensive simulation experiments. is more efficient in solving the congestion in WSNs. Furthermore, it is clear that the proposed scheme has an outstanding advantage in terms of improving the fairness and lifetime of networks. View Full-Text
Keywords: wireless sensor networks; congestion control; dynamic priority; cross-layer protocol wireless sensor networks; congestion control; dynamic priority; cross-layer protocol
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

MDPI and ACS Style

Wan, J.; Xu, X.; Feng, R.; Wu, Y. Cross-Layer Active Predictive Congestion Control Protocol for Wireless Sensor Networks. Sensors 2009, 9, 8278-8310.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top