WILDSENSING: A Hybrid Framework of Mobile and Sensor Nodes for Wildlife Monitoring

预计微电子机械系统(MEMS)的技术进步将允许在大范围内密集部署具有传感、通信和处理能力的节点，以实现监测目的。在本项目中，我们提供了一种通过传感器网络转发普通多跳数据的替代方案。我们的方法建议转发传感器数据并将其存储在选定的节点(存储节点)中，稍后漫游移动节点将从这些节点收集数据。这一新的运行环境将利用移动技术的最新进展，将传感器网络从繁重的多跳通信任务中解放出来。它将利用各种不同移动设备(例如电话、PDA和健康监测器等特定领域的无线装备设备)的广泛可用性以及用户或无人驾驶车辆的移动性潜力。移动设备配备了一个或多个无线网络接口(蓝牙、802.11等)，这使得它们能够以自组织方式连接无线范围内的存储节点并与其交互。使用传感器节点进行持续监测的一个特别受益的应用是野生动物监测。这项新技术的主要好处之一将是为生物学家提供更有效地监测动物的手段。动物也将从这些小而高效的RFID设备提供的福利改进中受益。这项完整的技术将使一系列关于动物运动和空间行为的新的、更详细的问题得到回答。目前野生动物监测和保护的方法通常仍然依赖于劳动密集型技术来观察动物的行为或使用现有的(但过时的)甚高频遥测设备来跟踪动物的运动。典型的监测模式是派遣工作人员到现场的每个传感器节点收集传感器读数。原始数据由工作人员收集，在实验室聚集在一起，并以集中方式处理。目前严重依赖实地工作人员进行动物监测，产生了相当大的雇用费用和辅助设备的管理费用。使用夜间在森林中单独工作的人员也具有重大的健康和安全影响，健康和安全执行部的审查可能会在未来危及其中许多议定书。

Technological advances in Micro-Electro-Mechanical Systems (MEMS) are envisaged to allow the dense deployment of nodes with sensing, communication and processing capabilities in large areas for monitoring purposes. In this project we offer an alternative to plain multi hop data forwarding through the sensor network. Our approach suggests the forwarding of sensor data and its storage in selected nodes (storage nodes) from where the data will be collected later on by roaming mobile nodes. This new operational setting will leverage recent advances in mobile technology to relieve the sensor network from heavy multi-hop communication tasks. It will exploit the vast availability of a variety of different mobile devices (e.g., phones, pdas and domain specific wireless-equipped devices such as health monitors) and the potential for user or unmanned vehicle mobility. Mobile devices are equipped with one or more wireless network interfaces (Bluetooth, 802.11 etc), which makes them able to connect and interact with storage nodes in radio range, in an ad hoc manner.An application that would particularly benefit from continous monitoring using sensor nodes is wildlife monitoring. One of the primary benefits of this new technology will be to offer biologists the means to monitor animals more effectively. The animals too will benefit through the refinements to welfare that these small andefficient RFID devices provide. This entire technology will permit a wholesuite of new and more detailed questions about animal movements and spatial behaviour to be answered.Current approaches to wildlife monitoring and conservation often still rely on labour intensive techniques for making observations of animal behaviour or for tracking animal movements with established (but outmoded) VHF telemetry equipment. The typical mode of monitoring is to send staff to every single sensor node in the field, to collect sensor readings. The raw data is collected by staff, brought together in a lab, and processed in a centralized manner. The heavy reliance on field-staff for animal monitoring currently incurs considerable employment costs and overheads for ancillary equipment. The use of personnel working alone at night in forests also has significant health and safety implications, and the scrutiny of the Health and Safety Executive is likely to jeopardise many of these protocols in the future.