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SinkTrail: A Proactive Data Reporting Protocol for Wireless Sensor Networks

delete2013-01-01
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刘欣鑫 封面图
刘欣鑫 (Xinxin Liu) *
H
Han Zhao
杨昕 封面图
杨昕 (Xin Yang)
栗晓林 封面图
栗晓林 (Xiaolin Li)
DOI:10.1109/TC.2011.207delete
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摘要

摘要

En 中文
In large-scale Wireless Sensor Networks (WSNs), leveraging data sinks' mobility for data gathering has drawn substantial interests in recent years. Current researches either focus on planning a mobile sink's moving trajectory in advance to achieve optimized network performance, or target at collecting a small portion of sensed data in the network. In many application scenarios, however, a mobile sink cannot move freely in the deployed area. Therefore, the precalculated trajectories may not be applicable. To avoid constant sink location update traffics when a sink's future locations cannot be scheduled in advance, we propose two energy-efficient proactive data reporting protocols, SinkTrail and SinkTrail-S, for mobile sink-based data collection. The proposed protocols feature low-complexity and reduced control overheads. Two unique aspects distinguish our approach from previous ones: 1) we allow sufficient flexibility in the movement of mobile sinks to dynamically adapt to various terrestrial changes; and 2) without requirements of GPS devices or predefined landmarks, SinkTrail establishes a logical coordinate system for routing and forwarding data packets, making it suitable for diverse application scenarios. We systematically analyze the impact of several design factors in the proposed algorithms. Both theoretical analysis and simulation results demonstrate that the proposed algorithms reduce control overheads and yield satisfactory performance in finding shorter routing paths.
Keyword:
Wireless sensor networks
mobile sink
data gathering
routing
logical coordinates
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期刊

IEEE Transactions on Computers 封面图
IEEE Transactions on Computers
IF:
3.8
论文数:
5.4K
被引数:
9.8K

机构

U
University of Florida
学者数:
4.0W
论文数: 3.1W
被引数: 6.6W
State University System of Florida 封面图
State University System of Florida
学者数:
12.8W
论文数: 10.9W
被引数: 130
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