What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Artificial intelligence
His primary areas of investigation include Wireless sensor network, Algorithm design, Distributed computing, Mathematical optimization and Distributed algorithm.
He combines subjects such as Wireless, Identification, Energy consumption, Real-time computing and Mobile radio with his study of Wireless sensor network.
The concepts of his Wireless study are interwoven with issues in Flow control, Energy harvesting, Provisioning and Asynchronous communication.
His studies in Real-time computing integrate themes in fields like Routing and Renewable energy.
Shibo He works mostly in the field of Distributed computing, limiting it down to topics relating to Optimization problem and, in certain cases, Robustness, Efficient algorithm and Power control.
In general Mathematical optimization study, his work on Approximation algorithm often relates to the realm of Task, thereby connecting several areas of interest.
His most cited work include:
- Energy Provisioning in Wireless Rechargeable Sensor Networks (395 citations)
- Data gathering optimization by dynamic sensing and routing in rechargeable sensor networks (207 citations)
- Toward Optimal Allocation of Location Dependent Tasks in Crowdsensing (196 citations)
What are the main themes of his work throughout his whole career to date?
Wireless sensor network, Distributed computing, Computer network, Real-time computing and Wireless are his primary areas of study.
His Wireless sensor network research is multidisciplinary, incorporating perspectives in Energy consumption, Key distribution in wireless sensor networks, Distributed algorithm, Scheduling and Efficient energy use.
While the research belongs to areas of Distributed algorithm, Shibo He spends his time largely on the problem of Mathematical optimization, intersecting his research to questions surrounding Incentive.
His Distributed computing research includes elements of Competitive analysis, Algorithm design and Online algorithm.
His work in the fields of Cellular network and Protocol overlaps with other areas such as Software deployment.
His Wireless study integrates concerns from other disciplines, such as Energy harvesting, Provisioning, Electrical engineering and Identification.
He most often published in these fields:
- Wireless sensor network (40.74%)
- Distributed computing (22.96%)
- Computer network (20.74%)
What were the highlights of his more recent work (between 2019-2021)?
- Privacy preserving (2.96%)
- Distributed computing (22.96%)
- Computer security (8.15%)
In recent papers he was focusing on the following fields of study:
His main research concerns Privacy preserving, Distributed computing, Computer security, Data mining and Coronavirus disease 2019.
Shibo He combines subjects such as Cognitive radio, Channel allocation schemes, Computer network and Transmitter power output with his study of Privacy preserving.
His biological study spans a wide range of topics, including Default gateway and Throughput.
His work carried out in the field of Throughput brings together such families of science as Distributed algorithm, Game theory and Industrial Internet.
His work on Differential privacy as part of general Data mining study is frequently connected to Synthetic data generation, Sample, Task and Data synthesis, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
The Base station study combines topics in areas such as Cellular traffic, Smart city, Optimization problem, Mathematical optimization and Efficient energy use.
Between 2019 and 2021, his most popular works were:
- DRAIM: A Novel Delay-Constraint and Reverse Auction-Based Incentive Mechanism for WiFi Offloading (15 citations)
- CEDAR: A Cost-Effective Crowdsensing System for Detecting and Localizing Drones (8 citations)
- Bilateral Privacy-Preserving Utility Maximization Protocol in Database-Driven Cognitive Radio Networks (7 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Artificial intelligence
Shibo He spends much of his time researching Privacy preserving, Cellular traffic, Mathematical optimization, Optimization problem and Cellular network.
Shibo He has researched Privacy preserving in several fields, including Cognitive radio, Channel allocation schemes, Computer network and Distributed computing.
The various areas that he examines in his Cellular traffic study include Reverse auction, Selection and Search engine.
His Reverse auction study frequently involves adjacent topics like Incentive.
His research investigates the connection between Incentive and topics such as Consumer sovereignty that intersect with problems in Radar.
His Mathematical optimization study combines topics in areas such as Mobile network operator and Base station.
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