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Energy and terrain aware connectivity restoration in disjoint Mobile Sensor Networks

机译:脱编移动传感器网络中的能量和地形意识到连接恢复

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In Mobile Sensor Networks (MSNs), connectivity of the sensor nodes with the sink node can be disrupted due to failure of some nodes which may result network partitioning. To address this problem, mobility of the nodes has been exploited in the previous works so that an autonomous recovery can be achieved. All of these works have assumed reachability of the nodes to the selected destinations via a direct path movement. However, in real-world applications, such assumption makes the schemes impractical in case of encountering obstacles or intolerable terrains based on the kinematics of the mobile nodes. Besides, even if direct path movement is successful, optimal energy efficiency cannot be attained by neglecting the elevation or friction of the terrain when determining the movement path of the nodes. Thus, in the recovery efforts, terrain type, elevation as well as the obstacles should be taken into account in order to guarantee the connectivity restoration while minimizing the recovery cost in terms of energy. In this paper, we re-design an existing connectivity restoration approach in disjoint MSNs to fit these requirements and evaluate the performance issues when realistic terrains are assumed. Rather than following a direct path, movement trajectory is determined based on a path planning algorithm which considers the risk and elevation of terrain sections to be visited while avoiding obstacles and highly elevated terrain sections. Experiments have revealed that the direct path movement fails for many topologies while the proposed approach guarantees a solution. Besides, the proposed approach significantly outperforms direct path movement without obstacles in terms of total energy consumption.
机译:在移动传感器网络(MSN)中,由于可能导致网络分区的某些节点的故障,可以中断传感器节点的传感器节点的连接。为了解决这个问题,在以前的工作中已经利用了节点的移动性,以便可以实现自主恢复。所有这些工作都通过直接路径运动假设节点的可达性到所选目的地。然而,在现实世界中的应用中,这种假设在遇到基于移动节点的运动学的障碍或无法忍受的地形的情况下,这些假设使得该方案不切实际。此外,即使直接路径运动成功,当确定节点的运动路径时,通过忽略地形的高度或摩擦,不能实现最佳能量效率。因此,在恢复努力中,应考虑到地形类型,高度以及障碍物,以保证连接恢复,同时在能量方面最小化恢复成本。在本文中,我们重新设计了禁用MSN的现有连接恢复方法,以符合这些要求,并在假设现实的地形时评估性能问题。不是在直接路径之后,基于路径规划算法确定运动轨迹,该路径规划算法考虑要访问的地形部分的风险和升高,同时避免障碍物和高度升高的地形部分。实验表明,当建议的方法保证解决方案时,直接路径运动失败了许多拓扑。此外,所提出的方法显着优于直接路径运动而在总能量消耗方面没有障碍。

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