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题名: Adaptive and reliable transmission scheduling with low-cost estimation of channel states
作者: Zhang XL(张晓玲) ; Liang W(梁炜) ; Yu HB(于海斌) ; Feng XS(封锡盛)
作者部门: 工业控制网络与系统研究室
会议名称: 2012 IEEE International Conference on Information and Automation, ICIA 2012
会议日期: June 6, 2012 - June 8, 2012
会议地点: Shenyang, China
会议录: 2012 IEEE International Conference on Information and Automation, ICIA 2012
会议录出版者: IEEE Computer Society
会议录出版地: Washington, DC
出版日期: 2012
页码: 474-481
收录类别: CPCI(ISTP) ; EI
ISBN号: 978-1467322386
关键词: Computer simulation ; Cost estimating ; Electric power transmission ; Optimization ; Reliability ; Wireless sensor networks
摘要: An 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.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/9892
Appears in Collections:工业控制网络与系统研究室_会议论文

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