Tsunami alert &amp; detection system using IoT: A survey

Nimbargi, Saket R; Hadawale, Samarth; Ghodke, Gaurav

doi:10.1109/bid.2017.8336595

Cited by 8 publications

(4 citation statements)

References 11 publications

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“…This application generates continuous traffic and burst traffic. Sensor nodes in a network tend to receive or cache sets of captured sensory data together and then deliver them to a base station, resulting in a huge load of information in the network [4,5,6,7,8].…”

Section: Introductionmentioning

confidence: 99%

Congestion Control in CoAP Observe Group Communication

Suwannapong

Khunboa

2019

Sensors

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The Constrained Application Protocol (CoAP) is a simple and lightweight machine-to-machine (M2M) protocol for constrained devices for use in lossy networks which offers a small memory capacity and limited processing. Designed and developed by the Internet Engineering Task Force (IETF), it functions as an application layer protocol and benefits from reliable delivery and simple congestion control. It is implemented for request/response message exchanges over the User Datagram Protocol (UDP) to support the Internet of Things (IoT). CoAP also provides a basic congestion control mechanism. In dealing with its own congestion, it relies on a fixed interval retransmission timeout (RTO) and binary exponential backoff (BEB). However, the default CoAP congestion control is considered to be unable to effectively perform group communication and observe resources, and it cannot handle rapid, frequent requests. This results in buffer overflow and packet loss. To overcome these problems, we proposed a new congestion control mechanism for CoAP Observe Group Communication, namely Congestion Control Random Early Detection (CoCo-RED), consisting of (1) determining and calculating an RTO timer, (2) a Revised Random Early Detection (RevRED) algorithm which has recently been developed and primarily based on the buffer management of TCP congestion control, and (3) a Fibonacci Pre-Increment Backoff (FPB) algorithm which waits for backoff time prior to retransmission. All the aforementioned algorithms were therefore implemented instead of the default CoAP mechanism. In this study, evaluations were carried out regarding the efficiency of the developed CoCo-RED using a Cooja simulator. The congestion control mechanism can quickly handle the changing behaviors of network communication, and thus it prevents the buffer overflow that leads to congestions. The results of our experiments indicate that CoCo-RED can control congestion more effectively than the default CoAP in every condition.

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Section: Introductionmentioning

confidence: 99%

Congestion Control in CoAP Observe Group Communication

Suwannapong

Khunboa

2019

Sensors

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“…There are already some proposals using IoT sensors to monitor tsunamis. For instance, in [45], an architecture consisting of an underwater WSN is presented, with relay nodes connected to a cloud. Additionally, in [46] it is proposed to use the induced electric, and magnetic fields, the wave energy gradient, and heat/chemical energy sensors.…”

Section: Tsunamismentioning

confidence: 99%

On-Demand Satellite Payload Execution Strategy for Natural Disasters Monitoring Using LoRa: Observation Requirements and Optimum Medium Access Layer Mechanisms

et al. 2021

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Natural disasters and catastrophes are responsible for numerous casualties and important economic losses. They can be monitored either with in-situ or spaceborne instruments. However, these monitoring systems are not optimal for an early detection and constant monitoring. An optimisation of these systems could benefit from networks of Internet of Things (IoT) sensors on the Earth’s surface, capable of automatically triggering on-demand executions of the spaceborne instruments. However, having a vast amount of sensors communicating at once with one satellite in view also poses a challenge in terms of the medium access layer (MAC), since, due to packet collisions, packet losses can occur. As part of this study, the monitoring requirements for an ideal spatial nodes density and measurement update frequencies of those sensors are provided. In addition, a study is performed to compare different MAC protocols, and to assess the sensors density that can be achieved with each of these protocols, using the LoRa technology, and concluding the feasibility of the monitoring requirements identified.

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“…In the paper [55], the authors focus on disaster response systems for fishermen Although some researchers have developed flood prediction systems at the present stage, these systems are mostly oriented to cities, while for remote rural areas where there is a lack of funds, talents, and technologies, it is worth to think about how to deploy equipment to effectively monitor and warn the invasion of floods. In the paper [58], the authors propose a model calculated by multiple linear regression which can select any parameter type according to the demand.…”

Section: The Role Of Iot In Ocean Disastersmentioning

confidence: 99%

Technology of Internet of Things Responding to Natural Disasters

Chen¹,

Shao²,

Zhu³

2021

EAI Endorsed Trans IoT

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Numerous countries have been affected by natural disasters, the seriousness of which consequences is self-evident, such as power failure, building collapse and communication interruption. With the rapid development of science and technology, the Internet of Things (IoT) has become one of the most important part of current information technology. More and more countries and regions have realized the significance of IoT in dealing with natural disasters and are making efforts to put IoT into use. This paper summarizes the latest progress of IoT with fog computing, swarm robots and other advanced technologies in coping with natural disasters on four aspects. It focuses on how the IoT and other information technologies can solve problems encountered in natural disasters to a certain extent.

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Tsunami alert & detection system using IoT: A survey

Cited by 8 publications

References 11 publications

Congestion Control in CoAP Observe Group Communication

Congestion Control in CoAP Observe Group Communication

On-Demand Satellite Payload Execution Strategy for Natural Disasters Monitoring Using LoRa: Observation Requirements and Optimum Medium Access Layer Mechanisms

Technology of Internet of Things Responding to Natural Disasters

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