Cognitive Agent Mobility for Aerial Sensor Networks
Cognitive Agent Mobility for Aerial Sensor Networks
复制标题
航空传感器网络的认知代理移动性
DOI：
--
复制
发表时间：
2011
影响因子：
4.3
通讯作者：
Christian Wietfeld
中科院分区：
文献类型：
--
作者：
Kai Daniel;Sebastian Rohde;Niklas Goddemeier;Christian Wietfeld
对于大型工业和事故区域的有效传感器覆盖，通过自主无线连接的（微型）无人机（MUAV）群收集传感器数据的快速灵活策略仍然是一个新兴的挑战。在恶劣环境中部署多个MUAV，稳定地携带传感设备，可以提高成本效益并降低对人类生命的风险。使用基于MUAV代理的空中自组织传感器网络，通过融合来自不同类型传感器的测量值，可以提供更及时和准确的信息。在本文中，我们研究了基于代理的移动性算法，目标是高空间覆盖分布，高总覆盖率，高质量的通信链路。对于这些关键数字，不同的新的移动性算法的性能进行评估。我们特别关注信道感知移动性和MUAV传感器群的自组织网状拓扑结构的通信约束。
For efficient sensor coverage of large industrial and incident areas, fast and flexible strategies for collecting sensor data through an autonomous, wirelessly connected swarm of (Micro) Unmanned Aerial Vehicles (MUAVs) are still an emerging challenge. Deploying multiple MUAVs which stably carry sensing equipment in hostile environments yields cost efficiency and reducing the risk to human life. The use of an aerial ad hoc sensor network based on MUAV agents promises more timely and accurate information by fusing measurements from different types of sensors. In this paper, we examine agent-based mobility algorithms that target high spatial coverage distribution, high total coverage, and high-quality communication links. For these key figures, the performance of the different novel mobility algorithms is evaluated. We particularly focus on channel aware mobility and on self-organizing mesh topologies of MUAV-based sensor swarms with respect to communication constraints.