Wireless Alarming and Routing Protocol for Earthquake Early Warning Systems

Nachtigall, Jens; Redlich, Jens-Peter

doi:10.1109/ntms.2011.5720630

Cited by 11 publications

(6 citation statements)

References 11 publications

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“…For instance, Uga et al [4] test these sensors specifically for SASs applications and study how to separate false positives from real ground motion, although tests are performed against artificial data obtained with a shakeboard, and smartphones are positioned on horizontal flat surfaces for the entire duration of the experiments. Shakeboards are also employed to test prototypes designed to form an IEEE 802.11 (WiFi) Wireless Mesh Network [5,6]. In these cases, however, authors focus specifically on the performance of wireless communications.…”

Section: Related Work: An Overview On Sassmentioning

confidence: 99%

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Processing and Communication Delays in EWS: On the Performance of the Earthcloud Prototype

Klapez

Grazia

Casoni

et al. 2019

Wireless Communications and Mobile Computing

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A Seismic Alert System (SAS), also called Earthquake Warning System (EWS) or Earthquake Early Warning System (EEW or EEWS), represents one of the most important measures that can be taken to prevent and minimize earthquake damage. These systems are mainly used to detect P-waves and the faster seismic waves and to subsequently trigger an alarm about the incoming S-waves, the slower and most dangerous seismic waves. In some cases, distributed systems are also able to alert some locations before the impending P-waves strike them. This paper presents Earthcloud, a cloud-based SAS that aims to provide all the former capabilities while retaining financial accessibility. Earthcloud first results, generated from four months of data acquisition, are compared with those coming from other systems. In particular, the paper focuses on processing and communication delays, showing how the Earthcloud new detection strategy may minimize delays. Although a thorough test campaign with more sensor nodes is needed to assess performance reliably, especially for highly dense urban scenarios, initial results are promising, with total latencies for Earthcloud always kept under the 1-second mark, despite being at the expense of solid magnitude estimation.

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Section: Related Work: An Overview On Sassmentioning

confidence: 99%

“…In [6], Wireless Sensor Networks (WSNs) are proposed as low-cost tools to realize front-detection EEWSs.…”

Section: Wsnmentioning

confidence: 99%

Processing and Communication Delays in EWS: On the Performance of the Earthcloud Prototype

Klapez

Grazia

Casoni

et al. 2019

Wireless Communications and Mobile Computing

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“…Thus, copious literature is paid close attention to the multi-agent systems with delays (see [20,23,27]). In fact, information transmission has timeliness, such as earthquake early warning network system [16], it is apparently crucial for the time cost of information transmission. For delay multi-agent network systems, what we concern is not only whether the predetermined goal be achieved, but also whether the delay contributes to the time cost when we arrived at the goal, such as finite-time synchronization [32], and consensus on finite [20].…”

Section: Introductionmentioning

confidence: 99%

Controllability of multi-agent systems with input and communication delays

Meng²,

Wang³

2023

NAMC

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Distributed cooperative control of multi-agent systems is broadly applied in artificial intelligence in which time delay is of great concern because of its ubiquitous. This paper considers the controllability of leader-follower multi-agent systems with input and communication delays. For the first-order systems with input delay, neighbor-based protocol is adopted to realize the interactions among agents, yielding a system with delay existed in state and control input. New notions of interval controllability and interval structural controllability for the system are defined. Algebraic criterion is established for interval controllability, and graph-theoretic interpretation is put forward for the interval structural controllability. Results imply that input delay of the multi-agent systems has significant influence on the interval controllability and interval structural controllability. Corresponding conclusions are generalized to the first-order systems and the high-order ones with communication delays, respectively. Example is attached to illustrate the work.

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“…The danger to property and humans from earthquakes is serious. Thus, developing a seismic monitoring system, which can catch an earthquake's signals and analyze earthquake data is important [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

“…However, it is very inconvenient and time consuming to set up a wired transmission system. Wireless transmission overcomes the drawbacks of wired transmission [3][4][5]9]. Besides, it is more practical as the system can observe very small signal changes with high resolution.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Seismic Data Acquisition via a Paired Ripple Transmission Protocol

Lin

Hwang

et al. 2013

International Journal of Distributed Sensor Networks

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This work uses a low-cost, reliable, and microchip-based wireless transmission solution to real-time collect earthquake data across local and wide areas. A transmission chain consisting of sensor units (nodes), each transmitting earthquake data unidirectionally to the end, is proposed. Each node consists of a seismic sensor, analog digital converter, radio frequency module, and a microchip for central control. The terminal node is responsible for transmitting data to a display server, which collects and analyzes all earthquake data from different transmission chains. Moreover, users also can distribute nodes, plug-in computers, in a wide area to monitor earthquake activities and transmit data to a web server. Then interested people can view the circumstance of an earthquake via web maps. For efficient wireless transmissions and to maximize bandwidth usage, a modified ripple protocol is applied to the wireless transmission between nodes in a daisy chain. Field experiments verify the practicality of the proposed system.

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Wireless Alarming and Routing Protocol for Earthquake Early Warning Systems

Cited by 11 publications

References 11 publications

Processing and Communication Delays in EWS: On the Performance of the Earthcloud Prototype

Processing and Communication Delays in EWS: On the Performance of the Earthcloud Prototype

Controllability of multi-agent systems with input and communication delays

Real-Time Seismic Data Acquisition via a Paired Ripple Transmission Protocol

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