Abstract
Monitoring natural environments has become increasingly important, leading to research focused on improving their performance. This paper introduces a system for communication among nodes in an environment. Specifically, we propose a novel approach called group-based collaborative environments for coastal area monitoring. This approach utilizes a hierarchical network architecture, organizing nodes into groups. Multiple environments within a coastal area are monitored using group-based wireless sensor networks (WSNs). We have developed a mathematical model to estimate the energy consumption of this network configuration. Simulation results demonstrate energy savings of approximately 45% can be achieved using this approach.
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References
Jessop, B.M.: Oceanic water temperatures less than 20 °C may largely adjust for underestimation of European elver otolith ages. Fish. Oceanogr. 31(3), 353–367 (2022)
Pérez, C.A., Valles, F.S., Sánchez, R.T., Buendía, M.J., López-Castejón, F., Cervera, J.G.: Design and deployment of a wireless sensor network for the mar menor coastal observation system. IEEE J. Ocean. Eng. 42(4), 966–976 (2017)
Brienza, S., Galli, A., Anastasi, G., Bruschi, P.: A low-cost sensing system for cooperative air quality monitoring in urban areas. Sensors 15(6), 12242–12259 (2015)
Wu, M., Tan, L., Xiong, N.: Data prediction, compression, and recovery in clustered wireless sensor networks for environmental monitoring applications. Inf. Sci. 329, 800–818 (2016)
Bello, A.D., Lamba, O.S.: Energy efficient for data aggregation in wireless sensor networks. Int. J. Eng. Res. Technol. (IJERT) 9(1), 110–120 (2020)
Chaudhary, S., Singh, N., Pathak, A., Vatsa, A.K.: Energy efficient techniques for data aggregation and collection in WSN. Int. J. Comput. Sci. Eng. Appl. (IJCSEA) 2 (2012)
Garcia, M., Bri, D., Sendra, S., Lloret, J.: Practical deployments of wireless sensor networks: a survey. Int. J. Adv. Netw. Serv. 3(12), 170–185 (2010)
Seah, W.K., Eu, Z.A., Tan, H.P.: Wireless sensor networks powered by ambient energy harvesting (WSN-HEAP)-survey and challenges. In: 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace and Electronic Systems Technology. 17–20 May 2009, Aalborg, Denmark (2009)
Garcia, M., Sendra, S., Lloret, J., Canovas, A.: Saving energy and improving communications using cooperative group-based wireless sensor networks. Telecommun. Syst. 52, 2489–2502 (2013)
Yahia, N.B., Eljaoued, W., Saoud, N.B.B., Colomo-Palacios, R.: Towards sustainable collaborative networks for smart cities co-governance. Int. J. Inf. Manag. 56, 102037 (2021)
Alghamdi, T.A.: Energy efficient protocol in wireless sensor network: optimized cluster head selection model. Telecommun. Syst. 74(3), 331–345 (2020). https://doi.org/10.1007/s11235-020-00659-9
Lilhore, U.K., Khalaf, O.I., Simaiya, S., Tavera Romero, C.A., Ab-dulsahib, G.M., Kumar, D.: A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks. Int. J. Distrib. Sens. Netw. 18(9), 15501329221117118 (2022)
Muzammal, M., Talat, R., Sodhro, A.H., Pirbhulal, S.: A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks. Inf. Fusion 53, 155–164 (2020)
Kim, B.S., Kim, K.I., Shah, B., Chow, F., Kim, K.H.: Wire-less sensor networks for big data systems. Sensors 19(7), 1565 (2019)
Garcia, M., Sendra, S., Lloret, J., Lacuesta, R.: Saving energy with cooperative group-based wireless sensor networks. In: Luo, Y. (ed.) CDVE 2010. LNCS, vol. 6240, pp. 73–76. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-16066-0_11
Waspmote. http://www.libelium.com/products/waspmote. Accessed 24 May 2023
Acknowledgments
This work is partially funded by the Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital through the “Expresiones de Interés de Proyectos de Investigación Alineados con Thinkinazul” project GVA-THINKINAZUL/2021/002, by the “Programa Estatal de I+D+i Orientada a los Retos de la Sociedad, en el marco del Plan Estatal de Investigación Científica y Técnica y de Innovación 2017–2020” (Project PID2020-114467RR-C33/AEI/10.13039/501100011033), by “Proyectos Estratégicos Orientados a la Transición Ecológica y a la Transición Digital” (Project TED2021-131040B-C31), and by the “Generalitat Valenciana” through the “Programa Investigo”, (Project INVEST/2022/467).
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Sendra, S., Ivars-Palomares, A., Zaragoza-Esquerdo, M., Lloret, J. (2023). Group-Based Collaborative Environments for Coastal Areas Monitoring. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2023. Lecture Notes in Computer Science, vol 14166. Springer, Cham. https://doi.org/10.1007/978-3-031-43815-8_20
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DOI: https://doi.org/10.1007/978-3-031-43815-8_20
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