NeTS: Small: Distributed In-network Data Storage and Retrieval in 3D Wireless Sensor Networks

分布式网内数据处理旨在降低通信能量消耗，建立一个完备的数据存储、检索、聚合和查询传感器系统。以前的研究主要集中在二维(2D)无线传感器网络，其中假设二维平面设置。与部署在2D平面上的传感器网络相比，在三维无线传感器网络中支持网内数据处理具有更大的挑战性。本课题旨在探索3D无线传感器网络中的分布式网络数据存储和检索，特别是部署在具有潜在覆盖空洞的不规则区域的无线传感器网络。该研究将应用几何和拓扑工具来研究和开发在一般3D传感器网络中构建基于地理哈希表和基于双规则的信息存储和检索的不同方案。所设计的算法确保了数据检索的成功率和准确性、网络负载的良好平衡、单个节点存储的有限信息以及分布式操作。该项目将帮助将分布式网络数据处理从2D传感器网络扩展到3D，以支持未来在不同学科中的一系列应用，这些应用要求传感器部署在三维空间。它还丰富了工程课程，使计算几何和拓扑学理论与实际系统相结合。私人助理将继续努力改善女性在计算机科学领域的存在。

Distributed in-network data processing aims to reduce energy consumed for communication and establish a self-contained data storage, retrieval, aggregation, and query sensor system. Previous research focuses on two-dimensional (2D) wireless sensor networks where a 2D planar setting is assumed. Compared with sensor networks deployed on 2D plane, it is significantly more challenging to support in-network data processing in three-dimensional (3D) wireless sensor networks. This project aims to explore distributed in-network data storage and retrieval in a 3D wireless sensor network, especially one that is deployed in an irregular region with potential coverage holes.The proposed research will apply geometric and topological tools to investigate and develop different schemes for constructing geographic hash table-based and double-ruling based information storage and retrieval in general 3D sensor networks. The designed algorithms ensure the success and accuracy of data retrieval, well-balanced load across the network, limited information stored at individual nodes, and distributed operations. A testbed will be established for experimental exploration and evaluation.This project helps to extend distributed in-network data processing from 2D sensor networks to 3D, in support of a range of future applications in diverse disciplines that demand sensors to be deployed in three dimensional space. It also enriches the engineering curriculum to integrate the theory of computational geometry and topology with practical systems. The PIs will continue the effort in improving female presence in computer science.