Open Access
ARTICLE
An Adjust Duty Cycle Method for Optimized Congestion Avoidance and Reducing Delay for WSNs
Ting Xu1, Ming Zhao1, Xin Yao1, *, Kun He2
1 School of Computer Science and Engineering, Central South University, Changsha, 410075, China.
2 Apple Inc., Cupertino, California, 95014, USA.
* Corresponding Author: Xin Yao. Email: .
Computers, Materials & Continua 2020, 65(2), 1605-1624. https://doi.org/10.32604/cmc.2020.011458
Received 09 May 2020; Accepted 09 June 2020; Issue published 20 August 2020
Abstract
With the expansion of the application range and network scale of wireless
sensor networks in recent years, WSNs often generate data surges and delay queues
during the transmission process, causing network paralysis, even resulting in local or
global congestion. In this paper, a dynamically Adjusted Duty Cycle for Optimized
Congestion based on a real-time Queue Length (ADCOC) scheme is proposed. In order
to improve the resource utilization rate of network nodes, we carried out optimization
analysis based on the theory and applied it to the adjustment of the node’s duty cycle
strategy. Using this strategy to ensure that the network lifetime remains the same, can
minimize system delay and maximize energy efficiency. Firstly, the problems of the
existing RED algorithm are analyzed. We introduce the improved SIG-RED algorithm
into the ADCOC mechanism. As the data traffic changes, the RED protocol cannot
automatically adjust the duty cycle. A scheduler is added to the buffer area manager,
referring to a weighted index of network congestion, which can quickly determine the
status of network congestion. The value of the weighting coefficient W is adjusted by the
Bayesian method. The scheduler preferably transmits severely urgent data, alleviating the
memory load. Then we combined improved data fusion technology and information gain
methods to adjust the duty cycle dynamically. By simulating the algorithm, it shows that
it has faster convergence speed and smaller queue jitter. Finally, we combine the adjusted
congestion weight and the duty cycle growth value to adjust the data processing rate
capability in the real-time network by dynamically adjusting it to adapt to bursts of data
streams. Thus, the frequency of congestion is reduced to ensure that the system has
higher processing efficiency and good adaptability.
Keywords
Cite This Article
T. Xu, M. Zhao, X. Yao and K. He, "An adjust duty cycle method for optimized congestion avoidance and reducing delay for wsns,"
Computers, Materials & Continua, vol. 65, no.2, pp. 1605–1624, 2020.
Citations