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Optimal Deployment of Dense WSN for Error Bounded Air Pollution Mapping.

, , and . DCOSS, page 102-104. IEEE Computer Society, (2016)

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New key management schemes for resource constrained wireless sensor networks.. WOWMOM, page 1-3. IEEE Computer Society, (2011)Service Oriented D2D Efficient Communication for Post-Disaster Management., , , and . IWCMC, page 970-975. IEEE, (2020)Leveraging Predictability for Global Optimization of IoT Networks., , , and . ICC, page 3586-3591. IEEE, (2022)On the Regression and Assimilation for Air Quality Mapping Using Dense Low-Cost WSN., , , , and . AINA, volume 1151 of Advances in Intelligent Systems and Computing, page 566-578. Springer, (2020)On data selection for the energy efficiency of neural networks: Towards a new solution based on a dynamic selectivity ratio., , and . ICTAI, page 325-332. IEEE, (2023)Grow, prune or select data: which technique allows the most energy-efficient neural network training?, , , , and . ICTAI, page 303-308. IEEE, (2023)Informative and Communication-Efficient Multi-Agent Path Planning for Pollution Plume Monitoring., , and . WoWMoM, page 329-338. IEEE, (2025)On the Data Analysis of Participatory Air Pollution Monitoring Using Low-cost Sensors., , and . ISCC, page 1-7. IEEE, (2021)Virtual Forces based UAV Fleet Mobility Models for Air Pollution Monitoring., , and . LCN, page 481-484. IEEE, (2018)On the Optimization of WSN Deployment for Sensing Physical Phenomena: Applications to Urban Air Pollution Monitoring., , and . Mission-Oriented Sensor Networks and Systems (1), 163, Springer, (2019)