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Direction-based adaptive data propagation for heterogeneous sensor mobility

delete2012-06-01
delete2
PRE
AI
A
Azzedine Boukerche
D
Dionysios Efstathiou *
S
Sotiris Nikoletseas
DOI:10.1016/j.jpdc.2012.02.010delete
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摘要

摘要

En 中文
We consider sensor networks where the sensor nodes are attached on entities that move in a highly dynamic, heterogeneous manner. To capture this mobility diversity we introduce a new network parameter, the direction-aware mobility level, which measures how fast and close each mobile node is expected to get to the data destination (the Sink). We then provide local, distributed data dissemination protocols that adaptively exploit the node mobility to improve performance. In particular, high mobility is used as a low cost replacement for data dissemination (due to the ferrying of data), while in the case of low mobility either (a) data propagation redundancy is increased (when highly mobile neighbors exist) or (b) long-distance data transmissions are used (when the entire neighborhood is of low mobility) to accelerate data dissemination toward the sink. An extensive performance comparison to relevant methods from the state of the art demonstrates significant improvements, i.e. latency is reduced by even four times while keeping energy dissipation and delivery success at very satisfactory levels. (C) 2012 Elsevier Inc. All rights reserved,
Keyword:
Adaptation
Data propagation
Mobile sensors
Performance evaluation
Wireless sensor networks

期刊

Journal of Parallel and Distributed Computing 封面图
Journal of Parallel and Distributed Computing
IF:
4
论文数:
3.8K
被引数:
4.8K

机构

U
University of Ottawa
学者数:
3.5W
论文数: 3.1W
被引数: 3.8W
U
University of Patras
学者数:
1.2W
论文数: 9.6K
被引数: 8.4K
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