ConMonity: An IoT-Enabled LoRa/LTE-M Platform for Multimodal, Real-Time Monitoring of Concrete Curing in Construction Environments. [PDF]
Namatēvs I, Gaigals G, Ozols K.
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SD-MAC protocol for wireless sensor network energy consumption. [PDF]
Alhammad SM +4 more
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Non-Uniform Deployment of LWSN for Automated Railway Track Fastener Maintenance Robot and GA-LEACH Optimization. [PDF]
Shen Y, Meng J.
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Multi-channel TDMA scheduling in wireless sensor networks
In wireless sensor networks (WSNs) that use TDMA-based scheduled channel access, spatial re-use of time-slots is possible among a non-conflicting set of nodes. In this way, data gathering delays can be reduced and aggregate network throughput can be increased. Besides spatial re-use, available multiple channels, which is already an available feature in
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Adaptive and scalable energy aware clustering for mobile wireless sensor networks using a density driven approach. [PDF]
Guo H, Zhang J, Omidizadeh H.
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Distributed scheduling for real-time convergecast in wireless sensor networks
In some applications of wireless sensor networks,data packets generated by every node have to reach the sink node in short time.It resulted in a many-to-one communication paradigm referred to as convergecast.For the real-time of convergecast,a ...
doaj
Machine learning driven aggregation aware bitmap MAC protocol for energy efficient data transmission in WSNs. [PDF]
Alanazi F, Alanazi MN.
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Reinforcement Learning-Based Time-Slotted Protocol: A Reinforcement Learning Approach for Optimizing Long-Range Network Scalability. [PDF]
Alhattab N +3 more
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A Novel Medium Access Policy Based on Reinforcement Learning in Energy-Harvesting Underwater Sensor Networks. [PDF]
Eriş Ç, Gül ÖM, Bölük PS.
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Enhanced recurrent attention-deep Q learning with optimal node constrains and effective penalty based model for data transmission scheduling on wireless sensor networks. [PDF]
Anita Sofia Liz DR, Rubavathi C Y.
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