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

NeTS：小型：3D 无线传感器网络中的分布式网内数据存储和检索

• 批准号: 1320931
• 负责人: Miao Jin
• 金额: $ 37.25万
• 依托单位: University of Louisiana at Lafayette
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-10-01 至 2019-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1320931&HistoricalAwards=false
• 关键词: NeTS; Small; Distributed; network; Data

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.

分布式网络内数据处理旨在减少通信能耗，建立一个自包含的数据存储、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。与部署在二维平面上的传感器网络相比，支持三维（3D）无线传感器网络的网络内数据处理具有更大的挑战性。本项目旨在探索三维无线传感器网络的分布式网内数据存储和检索，特别是部署在具有潜在覆盖漏洞的不规则区域的无线传感器网络。本研究将应用几何和拓扑工具，研究和开发基于地理哈希表和双规则的三维传感器网络信息存储和检索方案。所设计的算法保证了数据检索的成功和准确性、网络负载均衡、单个节点存储的有限信息和分布式操作。建立实验平台，进行实验探索和评价。该项目有助于将分布式网络内数据处理从2D传感器网络扩展到3D，以支持需要在三维空间部署传感器的不同学科的一系列未来应用。将计算几何和拓扑学理论与实际系统相结合，丰富了工程课程。pi将继续努力提高女性在计算机科学领域的地位。