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Crowdsourcing Optimized Wireless Sensor Network Deployment in Smart Cities: A Keynote

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Smart Cities (ICSC-CITIES 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 978))

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Abstract

The deployment of wireless sensor networks in smart cities for environmental monitoring is a complex issue. One of the main problems is to determine the most appropriate places for these tasks. This paper proposes the use of information from crowdsourcing to identify places of interest from the environmental point of view to deploy the sensor network.

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Notes

  1. 1.

    http://urbanecolife.org.

  2. 2.

    http://camonproject.eu.

  3. 3.

    Crowdsourcing consists of outsourcing tasks that, traditionally, employees or contractors perform, leaving them in charge of a large group of people or a community, through an open call.

  4. 4.

    http://organicity.eu.

  5. 5.

    A DTN is a network architecture approach that seeks to address the technical problems in heterogeneous networks that may lack continuous network connectivity. Examples of such networks are those that operate in extreme mobile or terrestrial environments or planned networks in space.

  6. 6.

    The gamification is the use of techniques, elements and dynamics of games and leisure in non-recreational activities in order to enhance motivation, as well as to reinforce behavior to solve a problem, improve productivity, obtain an object, activate learning and evaluating specific individuals.

  7. 7.

    http://www.cali.gov.co/dagma/publicaciones/38365/sistema_de_vigilancia_de_calidad_del_aire_de_cali_svcac/.

References

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  6. Zúñiga Cañón, C., Asorey Cacheda, R., Largo Ortiz, J., Sinisterra González, A.: Work in progress: compilation of environmental data through portable low-cost sensors with delay-tolerant mobile ad-hoc networks. In: 2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), pp. 212–217 (2017). https://doi.org/10.1109/WiMOB.2017.8115842

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Acknowledgements

This research has been supported by projects: CAMoN (ref: Organicity Project –ID 645198– Open Call 2), funded by OrganiCity; Urb@nEcoLife (code DGI-COCEIN-No. 613-621116-D41); and AIM, (ref. TEC2016- 76465-C2-1-R, AEI/FEDER, UE).

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Correspondence to Rafael Asorey-Cacheda .

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Asorey-Cacheda, R., Garcia-Sanchez, A.J., Zúñiga-Cañón, C., Garcia-Haro, J. (2019). Crowdsourcing Optimized Wireless Sensor Network Deployment in Smart Cities: A Keynote. In: Nesmachnow, S., Hernández Callejo, L. (eds) Smart Cities. ICSC-CITIES 2018. Communications in Computer and Information Science, vol 978. Springer, Cham. https://doi.org/10.1007/978-3-030-12804-3_6

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  • DOI: https://doi.org/10.1007/978-3-030-12804-3_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12803-6

  • Online ISBN: 978-3-030-12804-3

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