Technologies of Internet of Things applied to an Earthquake Early Warning System

Abstract Internet of Things (IoT), more than smart homes and connected appliances, is to reach physical knowledge in real-time and remotely; and taking advantage of the smartphone’s increasing diffusion, it is possible using its embedded sensors to monitor the environment, anytime and anywhere; this could be the solution to many community problems as well as natural hazards. This paper focuses on the solution to one of the most deadly natural hazards, earthquakes; taking seismic data of Ecuador, a country with an average of 6 earthquakes per day in 2013. Technologies of IoT like Sensor Web Enablement Framework (SWE) and Message Queue Telemetry Transport (MQTT) give the benefit of achieving an Early Warning System capable of anticipating up to 12 seconds the maximum seismic peak in the epicentre zone through smartphones. The system is supported by a wireless sensor network and its main components, requirements and design decisions are described. It considers time and spatial analyses, not present in any other work, making it more precise and customizable, and adapting it to the features of the geographical zone and resources. A preliminary evaluation of the solution was conducted to determine its strengths and weaknesses in terms of response time. The obtained results indicate that the energy consumption is as relevant for end-users as their personal security.

[1]  Carlos E. Palau,et al.  I3WSN: Industrial Intelligent Wireless Sensor Networks for indoor environments , 2014, Comput. Ind..

[2]  Vipul Gupta,et al.  Sensor.Network: An open data exchange for the web of things , 2010, 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).

[3]  C. Robusto.  The Cosine-Haversine Formula , 1957 .

[4]  Carlos E. Palau,et al.  SWE Simulation and Testing for the IoT , 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

[5]  Tomotaka Nagaosa,et al.  An emergency earthquake warning system using mobile terminals with a built-in accelerometer , 2012, 2012 12th International Conference on ITS Telecommunications.

[6]  W. Kruskal,et al.  Use of Ranks in One-Criterion Variance Analysis , 1952 .

[7]  Giancarlo Fortino,et al.  Empowering smart cities through interoperable Sensor Network Enablers , 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

[8]  Khanjan Mehta,et al.  Mobile Computing, Applications, and Services: Fourth International Conference, MobiCASE 2012, Seattle, WA, USA, October 2012. Revised Selected Papers , 2013 .

[9]  H. O. Wood,et al.  Modified Mercalli intensity scale of 1931 , 1931 .

[10]  Giancarlo Fortino,et al.  BodyCloud: A SaaS approach for community Body Sensor Networks , 2014, Future Gener. Comput. Syst..

[11]  Jesús Favela,et al.  A social cloud-based tool to deal with time and media mismatch of intergenerational family communication , 2015, Future Gener. Comput. Syst..

[12]  Fan Ye,et al.  Mobile crowdsensing: current state and future challenges , 2011, IEEE Communications Magazine.

[13]  E. Mikhailov Eugeniy.  Discrete Fourier Transform , 2018 .

[14]  Jie Liu,et al.  Challenges in Building a Portal for Sensors World-Wide , 2006 .

[15]  Elizabeth S. Cochran,et al.  The Quake-Catcher Network: Citizen Science Expanding Seismic Horizons , 2009 .

[16]  Jiansi Yang,et al.  Development of an integrated onsite earthquake early warning system and test deployment in Zhaotong, China , 2013, Comput. Geosci..

[17]  Sasu Tarkoma,et al.  Accelerometer-based transportation mode detection on smartphones , 2013, SenSys '13.

[18]  M. Branco,et al.  Shaking Table Tests of a Structure Equipped with Superelastic Dampers , 2014 .

[19]  Richard Oehler,et al.  Surfing the web: practicing medicine in a technological age: using smartphones in clinical practice. , 2008, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[20]  Richard Wolski,et al.  The network weather service: a distributed resource performance forecasting service for metacomputing , 1999, Future Gener. Comput. Syst..

[21]  Amod Kumar,et al.  Evaluation of seismic events detection algorithms , 2010 .

[22]  Andreas Krause,et al.  The next big one: Detecting earthquakes and other rare events from community-based sensors , 2011, Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks.

[23]  Peter Bormann,et al.  Seismic Wave Propagation and Earth models , 2012 .

[24]  Alexandre M. Bayen,et al.  Mobile Phones as Seismologic Sensors: Automating Data Extraction for the iShake System , 2013, IEEE Transactions on Automation Science and Engineering.

[25]  Giancarlo Fortino,et al.  Middlewares for Smart Objects and Smart Environments: Overview and Comparison , 2014, Internet of Things Based on Smart Objects, Technology, Middleware and Applications.

[26]  Giancarlo Fortino,et al.  Agent-oriented smart objects development , 2012, Proceedings of the 2012 IEEE 16th International Conference on Computer Supported Cooperative Work in Design (CSCWD).

[27]  P. Richards.  Bulletin of the Seismological Society of America , 2005 .

[28]  Claas Busemann,et al.  Open Sensor Platforms: The Sensor Web Enablement Framework and Beyond , 2011, MMS.

[29]  William G. Cochran,et al.  Sampling Techniques, 3rd Edition , 1963 .

[30]  John Davidson,et al.  Ogc® sensor web enablement:overview and high level achhitecture. , 2007, 2007 IEEE Autotestcon.

[31]  Roozbeh Jafari,et al.  Enabling Effective Programming and Flexible Management of Efficient Body Sensor Network Applications , 2013, IEEE Transactions on Human-Machine Systems.

[32]  Hai Jin,et al.  DTA: Dynamic topology algorithms in content-based Publish/Subscribe , 2016, Future Gener. Comput. Syst..

[33]  Ta-Liang Teng,et al.  A Virtual Subnetwork Approach to Earthquake Early Warning , 2002 .

[34]  Hugo Yepes,et al.  Locations and magnitudes of historical earthquakes in the Sierra of Ecuador (1587–1996) , 2010 .

[35]  Hiroyuki Morikawa,et al.  A high-density earthquake monitoring system using wireless sensor networks , 2007, SenSys '07.

[36]  Azzedine Boukerche,et al.  Routing protocols in ad hoc networks: A survey , 2011, Comput. Networks.