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Adaptive and reliable transmission scheduling with low-cost estimation of channel states
Zhang XL(张晓玲); Liang W(梁炜); Yu HB(于海斌); Feng XS(封锡盛)
Department工业控制网络与系统研究室
Conference Name2012 IEEE International Conference on Information and Automation, ICIA 2012
Conference DateJune 6, 2012 - June 8, 2012
Conference PlaceShenyang, China
Source Publication2012 IEEE International Conference on Information and Automation, ICIA 2012
PublisherIEEE Computer Society
Publication PlaceWashington, DC
2012
Pages474-481
Indexed ByEI ; CPCI(ISTP)
EI Accession number20123915478395
WOS IDWOS:000318899300085
Contribution Rank1
ISBN978-1-4673-2238-6
KeywordComputer Simulation Cost Estimating Electric Power Transmission Optimization Reliability Wireless Sensor Networks
AbstractAn adaptive and reliable transmission scheduling algorithm for wireless sensor networks based on the low-cost estimation of channel states is proposed to jointly optimize the superframe length and reliability. We establish a hierarchical scheduling framework, which includes a global centralized timeslot scheduling (GCTS) and a local distributed channel scheduling (LDCS). On one hand, GCTS aims to guarantee the global optimality of timeslot allocation, during which a mathematical reliability model is built to avoid the resource waste and to improve the transmission reliability. On the other hand, LDCS allocates channel resource according to actual electromagnetism environment. During LDCS, the channel model is established by the dynamic programming method and takes both probing cost and channel quality into consideration, which alleviates the uncertain and time-varying interference and overcomes the blindness of traditional methods. In contrast with previous works that do not consider link reliability and channel probing cost and often assume two channel states, our scheduling algorithm performs reliably for arbitrary number of channels and arbitrary number of channel states. Extensive simulations under a variety of network environments have been conducted to validate our theoretical claims. © 2012 IEEE.
Language英语
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Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/9892
Collection工业控制网络与系统研究室
Corresponding AuthorZhang XL(张晓玲)
AffiliationShenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning Province, China
Recommended Citation
GB/T 7714
Zhang XL,Liang W,Yu HB,et al. Adaptive and reliable transmission scheduling with low-cost estimation of channel states[C]. Washington, DC:IEEE Computer Society,2012:474-481.
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