在石油管道监测中,传感器放置的寿命最大化

Yifeng Guo, Fanxin Kong, Dakai Zhu, A. Tosun, Qingxu Deng
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引用次数: 62

摘要

无线传感器网络(wsn)已经得到了广泛的应用,由于它们通常是由电池供电的,因此正确控制传感器节点的能量消耗以实现最大的wsn运行时间(即寿命)至关重要。在本文中,对于用于石油管道监测的传感器节点,我们以最大化其使用寿命为目标,研究了线性传感器放置问题。对于一个简单的等距离放置方案,我们首先说明了基于广泛使用的理想功率模型的结果与来自Tmote Sky传感器的现实功率模型的结果相比可能会产生误导(即增加更多的传感器节点可以提高WSN的寿命)。然后,我们研究了等幂布局方案,并将该问题表述为一个混合整数线性规划问题。此外,还提出了两种有效的布局启发式算法。评估结果表明,即使在远程功率模型下,只要选择合适的传感器节点数量、节点之间的距离和相应的发射功率水平,等功率布局方案也可以使WSN的寿命提高29%。此外,有一种启发式方案实际上得到了与MILP几乎相同的结果,并且是最优的。并对某油田的实际应用进行了讨论。
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Sensor placement for lifetime maximization in monitoring oil pipelines
Wireless sensor networks (WSNs) have been widely deployed and it is crucial to properly control the energy consumption of the sensor nodes to achieve the maximum WSNs' operation time (i.e., lifetime) as they are normally battery powered. In this paper, for sensor nodes that are utilized to monitor oil pipelines, we study the linear sensor placement problem with the goal of maximizing their lifetime. For a simple equal-distance placement scheme, we first illustrate that the result based on the widely used ideal power model can be misleading (i.e., adding more sensor nodes can improve WSN's lifetime) when compared to that of a realistic power model derived from Tmote Sky sensors. Then, we study equal-power placement schemes and formulate the problem as a MILP (mixed integer linear programming) problem. In addition, two efficient placement heuristics are proposed. The evaluation results show that, even with the Tmote power model, the equal-power placement schemes can improve the WSN's lifetime by up to 29% with properly selected number of sensor nodes, the distance between them and the corresponding transmission power levels. Moreover, one heuristic scheme actually obtains almost the same results as that of MILP, which is optimal. The real deployment in one oil field is also discussed.
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