activity
20102026
most citedConvergence of Edge Computing and Deep Learning: A Comprehensive Survey

1.5k citations · 13.5k across the 438 of their papers we have counts for

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Showing 2015Show all

13 papers · 1 filter

cs.GT2015★ 5 cited

Smart Data Pricing Models for Internet-of-Things (IoT): A Bundling Strategy Approach

Dusit Niyato, Dinh Thai Hoang, Nguyen Cong Luong +3

Internet of things (IoT) has emerged as a new paradigm for the future Internet. In IoT, enormous devices are connected to the Internet and thereby being a huge data source for nume…

cs.LG2015★ 130 cited

Deep Activity Recognition Models with Triaxial Accelerometers

Mohammad Abu Alsheikh, Ahmed Selim, Dusit Niyato +3

Despite the widespread installation of accelerometers in almost all mobile phones and wearable devices, activity recognition using accelerometers is still immature due to the poor…

cs.NI2015★ 7 cited

Economics of Internet of Things (IoT): An Information Market Approach

D. Niyato, X. Lu, P. Wang +2

Internet of things (IoT) has been proposed to be a new paradigm of connecting devices and providing services to various applications, e.g., transportation, energy, smart city, and…

cs.NI2015★ 33 cited

Offloading in Software Defined Network at Edge with Information Asymmetry: A Contract Theoretical Approach

Yanru Zhang, Lanchao Liu, Yunan Gu +3

The proliferation of highly capable mobile devices such as smartphones and tablets has significantly increased the demand for wireless access. Software defined network (SDN) at edg…

cs.NI2015★ 969 cited

Wireless Charging Technologies: Fundamentals, Standards, and Network Applications

Xiao Lu, Ping Wang, Dusit Niyato +2

Wireless charging is a technology of transmitting power through an air gap to electrical devices for the purpose of energy replenishment. The recent progress in wireless charging t…

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…