Mobile-Element Data Gathering Scheme

M. Aalsalem
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Abstract

In sensor network applications, data gathering mechanisms, which are based on multi-hop forwarding can be expensive in terms of energy. This limitation reduces the lifetime of the network and challenges the use of sensor networks for applications that demand a predefined operational lifetime. To avoid this problem, the benefits of using mobile gateway to prolong sensor life-time have been explored in the literature. However, practical considerations such as the gateway speed and route planning, sensor buffer size and data frequency generation constraints impose limits on the mobile elements. In this work, we consider the natural hybrid solution that combines the two approaches of mobile gateways and multi-hop forwarding to address more constraints for sensor applications. We provide algorithmic solutions that attempt to balance the benefits of both approaches. Based on a given predetermined time deadline, a gateway tour will be established to involve a subset of the sensors. These selected sensors will work as gathering points and will aggregate the other sensors' data. The gathering points/nodes are selected with the aim of reducing the energy expenditures due to multi-hop forwarding. Using approximation-preserving reductions, we discuss the hardness of this problem. We also present a heuristic-based solution and validate its performance through an extensive set of experiments.
移动元素数据收集计划
在传感器网络应用中,基于多跳转发的数据收集机制在能量方面是昂贵的。这一限制降低了网络的生命周期,并对需要预定义操作生命周期的应用程序使用传感器网络提出了挑战。为了避免这个问题,使用移动网关延长传感器寿命的好处已经在文献中进行了探讨。然而,实际的考虑,如网关速度和路由规划,传感器缓冲区大小和数据频率产生的约束施加限制的移动元素。在这项工作中,我们考虑了结合移动网关和多跳转发两种方法的自然混合解决方案,以解决传感器应用的更多限制。我们提供的算法解决方案试图平衡这两种方法的好处。基于给定的预定时间期限,将建立一个网关之旅,以涉及传感器的子集。这些选定的传感器将作为收集点,并将汇总其他传感器的数据。选择聚集点/节点的目的是为了减少多跳转发带来的能量消耗。利用保持近似约简,讨论了该问题的硬度。我们还提出了一种基于启发式的解决方案,并通过一系列广泛的实验验证了其性能。
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