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

近年来，三维异构无线传感器网络（HWSN）由于其在未来几代监控，监视，安全和安保系统的设计中日益增长的潜在用途而受到了极大的关注。 在这些类型的网络中，电池供电的自主和异构传感器和致动器设备深深嵌入到物理环境中，配备了不同的传感，计算和无线通信能力。这些自主设备相互协作，以收集、处理和传播有价值的信息，并将收集到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。HWSN的应用包括：行星探测无线传感器网络、无人机（UAV）无线传感器网络、水下无线传感器网络、油井监测和控制、栖息地和活火山监测、EOFS（环境观测和预报系统）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一些其他人类无法进入的监测关键领域，以及应急准备和救援应用。 这些关键应用中的一些可能比其他应用更依赖于3D定位系统，其中传感器可以部署在基于3D表面的环境中。 在这些情况下，传感器数据的相关性和对遥感器节点实时位置的了解可能非常关键，因为正确的事件解释可以挽救生命。 因此，感知事件必须在时间和空间上都是有序的，并且需要在空间和时间上适当的通信和定位技术来实现高精度和高效率。 本研究旨在探讨HWSNs中空间和时间定位的理论和实践方面。我们将主要集中在设计和评估一套新的可扩展的，准确的和有效的时空定位协议，以促进空间，时间，表面，通信和环境背景到异构无线传感器网络的整合，以提供感测数据的时间和位置信息在任何时间和位置的任何三维HSWN为基础的应用。 PI是响应日益增长的需求，复杂的三维异构无线传感器网络在不同的三维表面环境，由于其广泛的潜在应用。本研究的长期目标是为多用途多维HWSNs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.