z-logo
open-access-imgOpen Access
Monitoring Radiological Incidents Through an Opportunistic Network
Author(s) -
Angelica Reyes Munoz,
Enric Pastor Llorens,
Cristina Barrado Muxi,
Marti Gasull
Publication year - 2015
Publication title -
ieee latin america transactions
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.251
H-Index - 26
ISSN - 1548-0992
DOI - 10.1109/tla.2015.7040628
Subject(s) - power, energy and industry applications , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , fields, waves and electromagnetics , general topics for engineers
In case of radiological incidents before to send a human team to the site would be better have real time information about the situation that rescue teams can find. In this paper we simulate an opportunistic network over the nuclear plant of Ascó, in Tarragona, Spain to provide network connectivity and resource utilization to the rescue teams supposing a highly partitioned ad-hoc network. The system consists of distributed sensors in charge of collecting radiological data and ground vehicles that are sent to the nuclear plant at the moment of the accident to sense environmental and radiological information. Afterwards, data would be analyzed in the control center. Sensed data would be delivered to a control center using an Unmanned Aerial Vehicle (UAV) as a carrier. This research use opportunistically not only communication but also sensing, storage, etc. We analyze the pair wise contacts involved in our architecture, as well as visiting times, data collection, capacity of the links, size of the transmission window of the sensors, etc. Based on this information, we propose a transmission protocol with data control. Finally, we implemented an interface through which the control center can modify the UAV flight plan in order to get the highest quantity of data from sensors and ground vehicles and at the same time maximizing the ground sensed data.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom