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Sink selection and clustering using fuzzy‐based controller for wireless sensor networks

https://doi.org/10.1002/dac.4557
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Fuzzy‐based cluster head selection and cluster formation in wireless sensor networks
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A proposed scheme to achieve node authentication in military applications of wireless sensor network
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A Strategy For Relocation of The Mobile Sink in Wireless Sensor Networks
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Utilizing Mobile Nodes for Congestion Control in Wireless Sensor Networks
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A survey of congestion in Wireless Sensor Networks
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A node/link level congestion detection approach in low power and limited broadcast range wireless ad hoc networks
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Energy Loss Minimization for Wireless Power Transfer Based Energy Redistribution in WSNs
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Accelerometer-based human abnormal movement detection in wireless sensor networks
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Fog Computing‐Assisted Energy‐Efficient Resource Allocation for High‐Mobility MIMO‐OFDMA Networks
inferredcites →https://doi.org/10.1155/2018/9472075openalex-snapshot
An Enhanced PEGASIS Algorithm with Mobile Sink Support for Wireless Sensor Networks
inferredcites →https://doi.org/10.1177/1550147719839581openalex-snapshot
An intelligent data gathering schema with data fusion supported for mobile sink in wireless sensor networks
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Application of Wireless Sensor Networks to Automobiles
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inferredcites →https://doi.org/10.32604/cmc.2020.08674openalex-snapshot
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Machine Learning Based Effective Clustering Scheme for Wireless Sensor Networks
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