Energy efficient approximate self-adaptive data collection in wireless sensor networks

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• 作者：Bin Wang ; Xiaochun Yang ; Guoren Wang ; Ge Yu ; Wanyu Zang…
• 关键词：wireless sensor networks ; data collection ; energy efficient ; self ; adaptive
• 刊名：Frontiers of Computer Science in China
• 出版年：2016
• 出版时间：October 2016
• 年：2016
• 卷：10
• 期：5
• 页码：936-950
• 全文大小：1,072 KB
• 刊物类别：Computer Science
• 刊物主题：Computer Science, general
  Chinese Library of Science
  
• 出版者：Higher Education Press, co-published with Springer-Verlag GmbH
• ISSN：1673-7466
• 卷排序：10

文摘

To extend the lifetime of wireless sensor networks, reducing and balancing energy consumptions are main concerns in data collection due to the power constrains of the sensor nodes. Unfortunately, the existing data collection schemesmainly focus on energy saving but overlook balancing the energy consumption of the sensor nodes. In addition, most of them assume that each sensor has a global knowledge about the network topology. However, in many real applications, such a global knowledge is not desired due to the dynamic features of the wireless sensor network. In this paper, we propose an approximate self-adaptive data collection technique (ASA), to approximately collect data in a distributed wireless sensor network. ASA investigates the spatial correlations between sensors to provide an energyefficient and balanced route to the sink, while each sensor does not know any global knowledge on the network.We also show that ASA is robust to failures. Our experimental results demonstrate that ASA can provide significant communication (and hence energy) savings and equal energy consumption of the sensor nodes.