Knowledge Resource Center for Ecological Environment in Arid Area
A Study on Remote Data Retrieval Strategies in Underwater Acoustic Networks | |
Favaro, Federico1; Brolo, Loris2; Toso, Giovanni2; Casari, Paolo1,2; Zorzi, Michele1,2 | |
通讯作者 | Favaro, Federico |
会议名称 | MTS/IEEE Oceans Conference |
会议日期 | SEP 23-27, 2013 |
会议地点 | San Diego, CA |
英文摘要 | In this paper we consider the problem of uploading data from a network of fixed sensors to a mobile sink, incorporated by an Autonomous Underwater Vehicle (AUV). We approach this problem by presenting U-Fetch, a protocol based on two levels of coordinated access. In U-Fetch, some head nodes retrieve data from their neighbors locally, and send all data to the mobile sink in bunches via a contention-free link, as the sink passes by. We compare this approach against two approaches endorsed by several works in the literature, namely multi-hop routing and polling. U-Fetch represents an intermediate approach between these two schemes, and constitutes a valid tradeoff in the presence of a mobile sink. We first substantiate this claim via some simple Monte-Carlo simulations. Finally, to confirm the validity of our approach, we reproduce the detailed behavior of U-Fetch in the event-driven ns2/NS-MIRACLE simulator endowed with the DESERT Underwater libraries, and present a set of simulation results that compare the performance of U-Fetch against multihop routing and polling. |
英文关键词 | Underwater acoustic networks AUV Routing Polling MAC U-Fetch |
来源出版物 | 2013 OCEANS - SAN DIEGO |
ISSN | 0197-7385 |
出版年 | 2013 |
EISBN | 978-0-933957-40-4 |
出版者 | IEEE |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | Italy |
收录类别 | CPCI-S |
WOS记录号 | WOS:000334165801075 |
WOS类目 | Engineering, Marine ; Oceanography |
WOS研究方向 | Engineering ; Oceanography |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/302523 |
作者单位 | 1.Consorzio Ferrara Ric, Ferrara, Italy; 2.Univ Padua, Dept Informat Engn, I-35100 Padua, Italy |
推荐引用方式 GB/T 7714 | Favaro, Federico,Brolo, Loris,Toso, Giovanni,et al. A Study on Remote Data Retrieval Strategies in Underwater Acoustic Networks[C]:IEEE,2013. |
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