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Movement Direction Based Path Selection Strategy in Converged Cellular and Wireless Sensor Networks

机译:融合蜂窝和无线传感器网络中基于运动方向的路径选择策略

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摘要

Wireless sensor networks have been applied in many service application areas, which consist of numerous autonomous sensor nodes with limited energy. In order to optimize the wireless sensor networks performance and meanwhile expand the cellular network's service applications, mobile cellular networks and wireless sensor networks are evolving from heterogeneous to converge. However, the sensor nodes need to be informed the mobile sink's location for data collection purpose. Unfortunately, frequent location updates from multiple sinks can lead to both excessive drain of sensors' limited battery supply and increased collisions in wireless transmission. In this paper, we describe the movement direction based path selection strategy which adopts the grid structure and provides an efficient mobile sink's location updates approach. When the sinks have mobility, they only inform their current locations to the specific nodes on the previous path instead of the source nodes. We evaluate the proposed method through both analysis and extensive simulations. The results show that our proposed theory not only provides an energy-efficient location update approach, but also generates a minimal delay path for data dissemination.
机译:无线传感器网络已被应用在许多服务应用领域中,这些领域由众多能量有限的自主传感器节点组成。为了优化无线传感器网络的性能并同时扩展蜂窝网络的服务应用,移动蜂窝网络和无线传感器网络正在从异构演进到融合。但是,出于数据收集的目的,需要通知传感器节点移动宿的位置。不幸的是,来自多个接收器的频繁位置更新会导致传感器电量有限的电池电量消耗过多,以及无线传输中的冲突增加。在本文中,我们描述了基于运动方向的路径选择策略,该策略采用网格结构并提供了一种有效的移动接收器的位置更新方法。当接收器具有移动性时,它们仅将其当前位置通知给先前路径上的特定节点,而不是源节点。我们通过分析和广泛的仿真评估提出的方法。结果表明,我们提出的理论不仅提供了一种节能的位置更新方法,而且还为数据分发生成了最小的延迟路径。

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