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A Mobile Wireless Sensor Network Architecture for Collaborative TasksAchievement by means of Autonomous Robot Swarm

机译:通过自治机器人群体的用于协作Tasksachevement的移动无线传感器网络架构

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In the last years, the detection of spatial and temporal variability of heterogeneous parameters is real-time performed [1] thanks to the development of innovative and integrated monitoring system such as Wireless Sensor Network (WSN). Such a technological solution provides .an adequate level of pervasiveness mandatory for the observation of complex environmental phenomena in both civilian [2] and military applications as for example dangerous areas surveillance,.target tracking , and intrusion detection [3]. Nevertheless, the efficiency and flexibility of a WSN architecture can be further enhanced if suitably integrated to gain other features (e.g., mobility) extend current functionalities. For example, WSNs can be "extended" thanks to the use of dedicated robotic devices in order to achieve the so-called mobile swarm sensing. State-of-the-art researches have explored different synergies among WSN and robots leading to different kinds of cooperation and applications. Considerable efforts have been devoted to develop collaborative-task solutions through swarm intelligence [4,5] and the arising Mobile Sensor Network architecture merges the advantages of the distributed sensing with the pervasiveness of the mobile robotics. As a matter of fact, wireless robot swarms can explore unreachable areas to rescue human victims or simply improve the sensing capabilities' of the whole system focusing on selected "regions-of-interest" within the environment under test.
机译:在过去几年中,由于无线传感器网络(WSN)等创新和集成监测系统的开发,异构参数的空间和时间变异性的检测是实时的[1]。这种技术解决方案提供了适当的普遍性水平,用于观察民用[2]和军事应用中复杂的环境现象,例如危险地区监视,.target跟踪和入侵检测[3]。然而,如果适当地集成以增益其他特征(例如,移动性)延长电流函数,则可以进一步增强WSN架构的效率和灵活性。例如,由于使用专用机器人设备,可以“扩展”WSNS,以实现所谓的移动群感测。最先进的研究探讨了WSN和机器人之间的不同协同作用,导致不同类型的合作和应用。已经致力于通过群体智能开发合作任务解决方案的相当大的努力[4,5],而产生的移动传感器网络架构利用移动机器人普及的分布式感测的优势。作为事实上,无线机器人群可以探索可达区域救援人员伤亡或简单地提高整个系统的感应能力聚焦于环境中选择了‘地区的兴趣’测试。

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