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一种支持水下空间监测的媒体访问控制协议。

A MAC Protocol to Support Monitoring of Underwater Spaces.

作者信息

Santos Rodrigo, Orozco Javier, Ochoa Sergio F, Meseguer Roc, Eggly Gabriel, Pistonesi Marcelo F

机构信息

Department Electrical and Computers, Universidad Nacional del Sur, CONICET, Bahia Blanca 8000, Argentina.

Computer Science Department, Universidad de Chile, Santiago 8370459, Chile.

出版信息

Sensors (Basel). 2016 Jun 27;16(7):984. doi: 10.3390/s16070984.

Abstract

Underwater sensor networks are becoming an important field of research, because of their everyday increasing application scope. Examples of their application areas are environmental and pollution monitoring (mainly oil spills), oceanographic data collection, support for submarine geolocalization, ocean sampling and early tsunamis alert. The challenge of performing underwater communications is well known, provided that radio signals are useless in this medium, and a wired solution is too expensive. Therefore, the sensors in these networks transmit their information using acoustic signals that propagate well under water. This data transmission type not only brings an opportunity, but also several challenges to the implementation of these networks, e.g., in terms of energy consumption, data transmission and signal interference. In order to help advance the knowledge in the design and implementation of these networks for monitoring underwater spaces, this paper proposes a MAC protocol for acoustic communications between the nodes, based on a self-organized time division multiple access mechanism. The proposal was evaluated using simulations of a real monitoring scenario, and the obtained results are highly encouraging.

摘要

由于水下传感器网络的应用范围日益扩大,它们正成为一个重要的研究领域。其应用领域包括环境与污染监测(主要是石油泄漏)、海洋学数据收集、支持潜艇地理定位、海洋采样以及早期海啸警报。由于无线电信号在这种介质中无用,而有线解决方案又过于昂贵,因此进行水下通信面临的挑战是众所周知的。所以,这些网络中的传感器使用在水下传播良好的声学信号来传输信息。这种数据传输类型不仅带来了机遇,也给这些网络的实现带来了诸多挑战,例如在能耗、数据传输和信号干扰方面。为了推动在设计和实现用于监测水下空间的这些网络方面的知识进步,本文基于自组织时分多址机制提出了一种用于节点间声学通信的MAC协议。该提议通过对真实监测场景的模拟进行了评估,所得结果非常令人鼓舞。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84be/4970035/fb4608935867/sensors-16-00984-g001.jpg

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