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A Data Caching Approach for Sensor Applications

机译:传感器应用的数据缓存方法

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摘要

In sensor network applications, data gathering mechanisms, which are based on multi-hop forwarding, can be expensive in terms of energy. This limitation challenges the use of sensor networks for applications that demand a predefined operational-lifetime. To avoid this problem, using of mobile element (ME) as a mechanical data carrier has emerged as a promising approach. However, practical considerations such as the ME speed and route planning, sensor buffer size and data frequency generation constraints impose limits on this approach. To address these issues, we propose a natural hybrid approach that combines two approaches of ME and multi-hop forwarding. We consider the problem of determining the path of the ME, in which the length of this path is bounded by pre-determined length. This path will visit a subset of the nodes. These selected nodes will work as caching points and will aggregate the other nodes' data. The caching point nodes are selected with the aim of reducing the energy expenditures due to multi-hop forwarding. To address this problem, we present a heuristic-based solution and compare its performance against the optimal solution. We obtain the optimal solution by providing an integer linear program for this problem.
机译:在传感器网络应用中,基于多跳转发的数据收集机制在能源方面可能很昂贵。对于需要预定义的使用寿命的应用,此限制对传感器网络的使用提出了挑战。为了避免这个问题,使用移动元件(ME)作为机械数据载体已经成为一种有前途的方法。但是,诸如ME速度和路线规划,传感器缓冲区大小和数据频率生成约束之类的实际考虑因素对该方法施加了限制。为了解决这些问题,我们提出了一种自然的混合方法,将ME和多跳转发这两种方法结合在一起。我们考虑确定ME的路径的问题,其中该路径的长度由预定长度限制。此路径将访问节点的子集。这些选定的节点将用作缓存点,并将聚合其他节点的数据。选择缓存点节点的目的是减少由于多跳转发引起的能量消耗。为了解决此问题,我们提出了一种基于启发式的解决方案,并将其性能与最佳解决方案进行了比较。通过为该问题提供整数线性程序,我们获得了最佳解决方案。

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