Active time scheduling for rechargeable sensor networks

被引:21
作者
Pryyma, Volodymyr [1 ]
Turgut, Damla [1 ]
Boloni, Ladislau [1 ]
机构
[1] Univ Cent Florida, Sch Elect Engn & Comp Sci, Orlando, FL 32816 USA
关键词
Rechargeable; Energy harvesting; Sensor network; POWER MANAGEMENT;
D O I
10.1016/j.comnet.2009.08.004
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
080201 [机械制造及其自动化];
摘要
Recent progress in energy harvesting technologies made it possible to build sensor networks with rechargeable nodes which target an indefinitely long operation. In these networks, the goal of energy management is to allocate the available energy such that the important performance metrics, such as the number of detected threats, are maximized. As the harvested energy is not sufficient for continuous operation, the scheduling of the active and inactive time is one of the main components of energy management. The active time scheduling protocols need to maintain the energy equilibrium of the nodes, while considering the uncertainties of the energy income, which is strongly influenced by the weather, and the energy expenditures, which are dependent on the behavior of the targets. In this paper, we describe and experimentally compare three active time scheduling protocols: (a) static active time, (b) dynamic active time based on a multi-parameter heuristic and (c) utility-based uniform sensing. We show that protocols which take into consideration the probabilistic models of the energy income and expenditure and can dynamically adapt to changes in the environment, can provide a significant performance advantage. (C) 2009 Published by Elsevier B.V.
引用
收藏
页码:631 / 640
页数:10
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