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Deployment and reallocation in mobile survivability-heterogeneous wireless sensor networks for barrier coverage

机译:在移动生存力异构无线传感器网络中进行部署和重新分配以实现障碍物覆盖

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Barrier coverage is a widely adopted coverage model for intruder surveillance application in wireless sensor networks. However, when sensor nodes are deployed outdoors, they are subject to environmental detriments and will be failed while operating in the rain. Thus, one barrier is not robust to provide barrier coverage under both sunny and rainy weather. In this paper, we study the barrier coverage problem in a mobile survivability-heterogeneous wireless sensor network, which is composed of sensor nodes with environmental survivabilities to make them robust to environmental conditions and with motion capabilities to repair the barrier when sensors are dead. Our goal is to keep field to be monitored continuously under both sunny and rainy weather and to prolong the network lifetime as much as possible. We propose a novel greedy barrier construction algorithm to solve the problem. The algorithm adopts weather forecast to direct the barrier construction under sunny and rainy weather, and the energy consumption of construction is minimized. Simulation results show that our algorithm efficiently solves the problem and outperforms other alternatives. (C) 2015 Elsevier B.V. All rights reserved.
机译:屏障覆盖是无线传感器网络中入侵者监视应用程序广泛采用的覆盖模型。但是,当传感器节点部署在室外时,会遭受环境损害,并且在雨中操作时会发生故障。因此,一个障碍物在提供晴天和阴雨天气下的障碍物方面都不够坚固。在本文中,我们研究了移动生存能力-异构无线传感器网络中的障碍物覆盖问题,该网络由具有环境生存能力的传感器节点组成,以使其对环境条件具有鲁棒性,并且具有在传感器死亡时修复障碍的运动能力。我们的目标是在晴天和阴雨天都保持对场的连续监视,并尽可能延长网络寿命。我们提出了一种新颖的贪婪屏障构建算法来解决该问题。该算法采用天气预报指导晴天和阴雨天气下的障碍物施工,并最大限度地降低了施工能耗。仿真结果表明,我们的算法有效地解决了该问题,并且优于其他方法。 (C)2015 Elsevier B.V.保留所有权利。

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