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Low Cost Data Gathering Using Mobile Hybrid Sensor Networks

机译:使用移动混合传感器网络的低成本数据收集

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In this work we study energy efficient hybrid sensor network design using mobile sinks, motivated by the practical GreenObs system application. In our model, the movement of mobile sinks is constrained to be on some predefined road-segments. Two different network structures are investigated: the one-hop structure in which each static sensor can be reached by the mobile sink at some stage of the movement, and the multi-hop structure where some sensors need the relay by other sensors to reach the sink. The challenge is to find a movement schedule of mobile sink that will minimize the energy cost while meet other constraints. In this work, we first show that the problem is NP-hard and then design an efficient movement scheme and theoretically prove that the total cost is within a constant factor of the optimum. We further present a scheduling solution using integer program for multi-hop structure, which is near optimal and can be computed in polynomial time. Finally, we conduct extensive study of our method in a real wireless sensor network deployment composed of hundreds of static sensors. Our experiments validate the theoretical findings of our method.
机译:在这项工作中,我们研究了受实际GreenObs系统应用启发的,使用移动接收器的节能混合传感器网络设计。在我们的模型中,移动水槽的运动被限制在某些预定义的路段上。研究了两种不同的网络结构:一种单跳结构,其中在移动的某个阶段可以通过移动接收器到达每个静态传感器;以及多跳结构,其中一些传感器需要其他传感器的中继才能到达接收器。面临的挑战是找到一种移动式水槽的移动时间表,以在满足其他约束条件的同时将能源成本降至最低。在这项工作中,我们首先表明问题是NP问题,然后设计了有效的运动方案,并从理论上证明总成本在最优值的恒定范围内。我们进一步提出了一种使用整数程序进行多跳结构的调度解决方案,该方案接近最优并且可以在多项式时间内进行计算。最后,我们在由数百个静态传感器组成的实际无线传感器网络部署中对我们的方法进行了广泛的研究。我们的实验验证了我们方法的理论发现。

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