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ELDC: An Artificial Neural Network Based Energy-Efficient and Robust Routing Scheme for Pollution Monitoring in WSNs

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ELDC: An Artificial Neural Network Based Energy-Efficient and Robust Routing Scheme for Pollution Monitoring in WSNs

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Mehmood, A.; Lv, Z.; Lloret, J.; Umar, MM. (2020). ELDC: An Artificial Neural Network Based Energy-Efficient and Robust Routing Scheme for Pollution Monitoring in WSNs. IEEE Transactions on Emerging Topics in Computing. IEEE TETC. 8(1):106-114. https://doi.org/10.1109/TETC.2017.2671847

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/189340

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Title: ELDC: An Artificial Neural Network Based Energy-Efficient and Robust Routing Scheme for Pollution Monitoring in WSNs
Author: Mehmood, Amjad Lv, Zhihan Lloret, Jaime Umar, Muhammad Muneer
Issued date:
Abstract:
[EN] The range of applications of Wireless Sensor Networks (WSNs) is increasing continuously despite of their serious constraints of the sensor nodes¿ resources such as storage, processing capacity, communication range and ...[+]
Subjects: Protocols , Wireless sensor networks , Monitoring , Energy consumption , Energy efficiency , Spread spectrum communication , Artificial neural networks , Group-based networks , Load balancing , Prolonging network life , Residual energy , Sleep mode
Copyrigths: Reserva de todos los derechos
Source:
IEEE Transactions on Emerging Topics in Computing. IEEE TETC. (issn: 2168-6750 )
DOI: 10.1109/TETC.2017.2671847
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/TETC.2017.2671847
Type: Artículo

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