A Raspberry Pi Based Scalable Software Defined Network Infrastructure for Disaster Relief Communication

Austin, Ron; Bull, Peter; Buffery, Shaun

doi:10.1109/ficloud.2017.25

Cited by 13 publications

(8 citation statements)

References 7 publications

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“…This board makes all the computing operations possible, since it features analog-to-digital converters (ADC) and digital-to-analog converters (DAC) with a resolution of 14 bits, all driven by a system clock of 125 MSPS. The Red Pitaya board was connected via Ethernet to a Raspberry Pi 3 [ 23 ], which saved the received files onto a hard disk and managed the different peripherals [ 24 ]. These connections are presented below:…”

Section: Sounding Systemmentioning

confidence: 99%

Analysis of the Ordinary and Extraordinary Ionospheric Modes for NVIS Digital Communications Channels

Male

Porte

Gonzalez

et al. 2021

Sensors

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Sensor networks have become more popular in recent years, now featuring plenty of options and capabilities. Notwithstanding this, remote locations present many difficulties for their study and monitoring. High-frequency (HF) communications are presented as an alternative to satellite communications, being a low-cost and easy-to-deploy solution. Near vertical incidence skywave (NVIS) technology provides a coverage of approximately 250 km (depending on the frequency being used and the ionospheric conditions) without a line of sight using the ionosphere as a communication channel. This paper centers on the study of the ionosphere and its characteristic waves as two independent channels in order to improve any NVIS link, increasing its robustness or decreasing the size of the node antennas through the appliance of specific techniques. We studied the channel sounding of both the ordinary and extraordinary waves and their respective channels, analyzing parameters such as the delay spread and the channel’s availability for each wave. The frequency instability of the hardware used was also measured. Furthermore, the correlation coefficient of the impulse response between both signals was studied. Finally, we applied polarization diversity and two different combining techniques. These measurements were performed on a single frequency link, tuned to 5.4 MHz. An improvement on the mean bit energy-to-noise power spectral density (Eb/N0) was received and the bit error rate (BER) was achieved. The results obtained showed that the extraordinary mode had a higher availability throughout the day (15% more availability), but a delayed spread (approximately 0.3 ms mean value), similar to those of the ordinary wave. Furthermore, an improvement of up to 4 dB was achieved with the usage of polarization diversity, thus reducing transmission errors.

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Section: Sounding Systemmentioning

confidence: 99%

Analysis of the Ordinary and Extraordinary Ionospheric Modes for NVIS Digital Communications Channels

Male

Porte

Gonzalez

et al. 2021

Sensors

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“…The estimation of damage must be done locally and transmitted to the central authorities, while instruction for responders and the population must be disseminated from the central authorities [1].…”

Section: Introductionmentioning

confidence: 99%

Heterogeneous wireless IoT architecture for natural disaster monitorization

Porte

Briones

Maso

et al. 2020

J Wireless Com Network

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A heterogeneous sensor network offers an extremely effective means of communicating with the international community, first responders, and humanitarian assistance agencies as long as affected populations have access to the Internet during disasters. When communication networks fail in an emergency situation, a challenge emerges when emergency services try to communicate with each other. In such situations, field data can be collected from nearby sensors deploying a wireless sensor network and a delay-tolerant network over the region to monitor. When data has to be sent to the operations center without any telecommunication infrastructure available, HF, satellite, and high-altitude platforms are the unique options, being HF with Near Vertical Incidence Skywave the most cost-effective and easy-to-install solution. Sensed data in disaster situations could serve a wide range of interests and needs (scientific, technical, and operational information for decision-makers). The proposed monitorization architecture addresses the communication with the public during emergencies using movable and deployable resource unit technologies for sensing, exchanging, and distributing information for humanitarian organizations. The challenge is to show how sensed data and information management contribute to a more effective and timely response to improve the quality of life of the affected populations. Our proposal was tested under real emergency conditions in Europe and Antarctica.

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“…One of the issues is rescue operations of affected areas. Author in [2] and [3] proposed a navigation system using Device-to-Device (D2D) communications and Global Positioning System (GPS) to rescue a person trapped during disaster. Researchers in [4] developed a method for event detection using mass GPS data provided from mobile phone carriers.…”

Section: Introductionmentioning

confidence: 99%

“…By using GPS, it can accurately detect the location however it makes the mobile phone's battery drain faster due to the GPS requires more energy. Another study in [3] proposed in utilizing low cost Raspberry Pi devices with software defined radio network to centralized devices management in areas where no communications especially for natural disaster. Next, in [5], the author presented a novel emergency communication system involving unmanned vehicles that can support humans in the affected area hence significantly reduce their radius of operation.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of handover parameter for natural disaster in LTE-A network

Yusof

Azhar

Ya’acob

2019

IJEECS

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<span>Natural disaster is an unpredictable event which can cause service communication disruption. The disruption of service communication can be divided into three cases which are power outage, broken backhaul and physical destruction by disaster. This paper focuses on power outage case. Although each base stations equipped with backup batteries, it only last for several hours. After natural disaster hit certain areas, traffic is highly congested due to panic and rescue operation of lifesaving. This scenario will drain the backup batteries quickly. In order to limit the UEs’ connection to the affected base station, this research proposed to adjust Received Signal Strength (RSS) based on parameter called as a distance fraction coefficient, α so that the affected coverage area is reduced when in disaster area situation. The parameter is added in the path loss equation and later in the RSS equation. The numerical results show the RSS improved whereby α=0.2 gives the optimal value and therefore limit the incoming traffic to the affected base station. </span>

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A Raspberry Pi Based Scalable Software Defined Network Infrastructure for Disaster Relief Communication

Cited by 13 publications

References 7 publications

Analysis of the Ordinary and Extraordinary Ionospheric Modes for NVIS Digital Communications Channels

Analysis of the Ordinary and Extraordinary Ionospheric Modes for NVIS Digital Communications Channels

Heterogeneous wireless IoT architecture for natural disaster monitorization

Performance analysis of handover parameter for natural disaster in LTE-A network

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