QC2: A QoS Control Scheme with Quick Convergence in Wireless Sensor Networks
Author(s) -
Haoli Wang,
Wei-Lun Hung
Publication year - 2013
Publication title -
isrn sensor networks
Language(s) - English
Resource type - Journals
ISSN - 2090-7745
DOI - 10.1155/2013/185719
Subject(s) - convergence (economics) , wireless sensor network , computer science , quality of service , wireless , real time computing , power control , control (management) , scheme (mathematics) , power (physics) , algorithm , computer network , telecommunications , mathematics , artificial intelligence , mathematical analysis , physics , quantum mechanics , economics , economic growth
In wireless sensor networks, too many or too few power-on sensors may cause the waste of resources or poor sensing efficiency; thus, controlling the number of active sensors to meet the predicted target number is the purpose of this research. However, the total number of sensors may be unstable because of the increment and damage to the sensors. It is difficult to control the number of active sensors to meet the predicted target in this condition. Previous studies proposed the Gur Game algorithm to solve this problem. However, the convergence time of the Gur Game algorithm is too long, which causes sensors to consume excessive power and waste resources. Therefore, this paper proposed the QoS Control with Quick Convergence (QC 2 ). This method utilizes total virtual value to accelerate the convergence operation from the number of sensors to the target number. The experiment result shows that the QC 2 method can cause the number of sensors to converge rapidly with the target value and that QC 2 can be over a hundred times faster than the Gur Game algorithm with regard to convergence.
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