DocumentCode
506694
Title
Distributed and dynamic TDMA channel scheduling algorithm for WIA-PA
Author
Zhang, Xiaoling ; Liang, Wei ; Zheng, Meng ; Yu, Haibin
Author_Institution
Shenyang Inst. of Autom., Chinese Acad. of Sci., Shenyang, China
Volume
3
fYear
2009
fDate
20-22 Nov. 2009
Firstpage
462
Lastpage
466
Abstract
This paper describes distributed and dynamic algorithms for TDMA channel scheduling in WIA-PA network with multiple channels. The main objective of the channel scheduling algorithm is to reduce the computation time while maximizing the utilization of the network resources, thereby improving the network throughput, reducing the transmission delay, and decreasing the number of retry. In this paper, we consider the channel scheduling algorithm by using the blacklist technology and under the requirements of real-time, reliability, low energy consumption and the character of time-varying channel simultaneously, and present our algorithm as a variant of the coloring algorithm. A performance study is carried out by using OPNET 10.0. The results show that our algorithm performs better than centralized algorithms and non-blacklist distributed algorithm in aspects of network throughput, end-to-end delay, and retry exhausted count.
Keywords
distributed algorithms; scheduling; time division multiple access; wireless channels; WIA-PA network; blacklist technology; coloring algorithm; distributed TDMA channel scheduling; distributed algorithm; dynamic TDMA channel scheduling; dynamic algorithm; multiple channels; time-varying channel; Computer networks; Delay effects; Dynamic scheduling; Energy consumption; Heuristic algorithms; Processor scheduling; Scheduling algorithm; Throughput; Time division multiple access; Time-varying channels; OPNET; TDMA scheduling; blacklist technology; industrial wireless network; process automation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-4754-1
Electronic_ISBN
978-1-4244-4738-1
Type
conf
DOI
10.1109/ICICISYS.2009.5358150
Filename
5358150
Link To Document