Towards the Design of error-free and scalable spatial temporal localization protocols for heterogeneous Wireless Sensor Networks

近年来，三维异质无线传感器网络(HWSN)因其在设计下一代监测、监视、安全和安保系统中的潜在应用而受到人们的极大关注。在这类网络中，电池供电的自主和异质传感器和执行器设备深入到物理环境中，具有不同的感知、计算和无线通信能力。这些自主设备相互协作，以便收集、处理和传播有价值的信息，并将收集的信息报告给中央服务器进行进一步分析，并使感兴趣的第三方能够访问这些信息。HWSNs的应用包括：行星探测WSNs、无人机WSNs、水下WSNs、油井监测和控制、栖息地监测和活火山监测、环境观测和预报系统(EOFs)应用、精准农业、战场监测、天气探测、野生动物保护、医疗保健和供应链管理应用，以及其他一些人类无法进入的监测关键区域，以及应急准备和救援应用。 其中一些关键应用比其他应用更依赖于3D定位系统，在3D定位系统中，传感器可以部署在基于3D Surface的环境中。在这些情况下，传感器数据的相关性和远程传感器节点的实时位置知识可能非常关键，因为正确的事件解释可以拯救生命。因此，感知到的事件必须在时间和空间上进行排序，需要在空间和时间上采用适当的通信和定位技术来实现高精度和高效率。 本研究旨在从理论和实践两个方面探讨HWSNs的时空局部化问题。我们将主要致力于设计和评估一套新的可扩展、准确和高效的时空定位协议，以促进将空间、时间、表面、通信和环境上下文集成到异质无线传感器网络中，以便为任何基于3D HSWN的应用提供任意时间和位置的传感数据。 由于其广泛的潜在应用，PI正在响应复杂的3D异质无线传感器网络在不同类型的3D表面环境中日益增长的需求。本研究的长远愿景是为多用途多维HWSN设计高效的时空定位管理协议。

In recent years, 3D heterogeneous wireless sensor networks (HWSN) have received a great deal of interests due to their growing potential use in the design of future generations of monitoring, surveillance, safety and security systems. In these kinds of networks, battery-powered autonomous and heterogeneous sensor and actuator devices which are deeply embedded into the physical surroundings are equipped with different sensing, computing and wireless communication capabilities. These autonomous devices collaborate with each other in order to gather, process and disseminate valuable information, as well as to report the collected information to a central server for further analysis, and making them accessible to interested third parties. HWSNs applications include: planetary exploration WSNs, unmanned aerial vehicle (UAV) WSNs, underwater WSNs, monitoring and control of oil-wells, monitoring of habitat and of active volcanoes, EOFS (Environment Observation and Forecasting System) applications, precision agriculture, battlefield monitoring, weather detection, wild animal protection, healthcare and supply chain management applications, and some other monitoring critical area that are inaccessible to humans, as well as emergency preparedness and rescue applications. Several of these critical applications can be more dependant on the 3D localization system than others, where sensors can be deployed in 3D Surface based environment. The relevance of sensory data and the knowledge of the real-time positions of remote sensor nodes can be very critical in these cases where correct events’ interpretation can life-saving. Thus, sensed events must be ordered both in time and space and proper communication and localization techniques in space and time are required to achieve high accuracy and efficiency. This research proposal aims to explore both the theoretical and practical aspects of spatial and temporal localization in HWSNs. We will concentrate primarly on the design and evaluation of a novel suite of scalable, accurate and efficient spatial-temporal localization protocols to foster the integration of space, time, surface, communication and environmental context into the heterogeneous wireless sensor networks in order to provide the sensed data with both time and position information at anytime and location for any 3D HSWN based applications. The PI is responding to the growing demands of complex 3D heterogenous wireless sensor networks over different kind of 3D surface environment due their wide range of potential applications. The vision of this research in a long-term is to design efficient spatial temporal localization management protocols for multipurpose mult-dimensional HWSNs.