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20112021
most citedMachine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications

853 citations · 1.3k across the 13 of their papers we have counts for

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Showing cs.NIShow all

6 papers · 1 filter

cs.NI2016★ 75 cited

Rate-distortion Balanced Data Compression for Wireless Sensor Networks

Mohammad Abu Alsheikh, Shaowei Lin, Dusit Niyato +1

This paper presents a data compression algorithm with error bound guarantee for wireless sensor networks (WSNs) using compressing neural networks. The proposed algorithm minimizes…

cs.NI2015★ 7 cited

Toward a Robust Sparse Data Representation for Wireless Sensor Networks

Mohammad Abu Alsheikh, Shaowei Lin, Hwee-Pink Tan +1

Compressive sensing has been successfully used for optimized operations in wireless sensor networks. However, raw data collected by sensors may be neither originally sparse nor eas…

cs.NI2015★ 195 cited

Markov Decision Processes with Applications in Wireless Sensor Networks: A Survey

Mohammad Abu Alsheikh, Dinh Thai Hoang, Dusit Niyato +2

Wireless sensor networks (WSNs) consist of autonomous and resource-limited devices. The devices cooperate to monitor one or more physical phenomena within an area of interest. WSNs…

cs.NI2014★ 6 cited

Efficient Data Compression with Error Bound Guarantee in Wireless Sensor Networks

Mohammad Abu Alsheikh, Puay Kai Poh, Shaowei Lin +2

We present a data compression and dimensionality reduction scheme for data fusion and aggregation applications to prevent data congestion and reduce energy consumption at network c…

cs.NI2014★ 853 cited

Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications

Mohammad Abu Alsheikh, Shaowei Lin, Dusit Niyato +1

Wireless sensor networks monitor dynamic environments that change rapidly over time. This dynamic behavior is either caused by external factors or initiated by the system designers…

cs.NI2014★ 1 cited

Area Coverage Under Low Sensor Density

Mohammad Abu Alsheikh, Shaowei Lin, Hwee-Pink Tan +1

This paper presents a solution to the problem of monitoring a region of interest (RoI) using a set of nodes that is not sufficient to achieve the required degree of monitoring cove…