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Chapter and Conference Paper
Condition Monitoring of Wind Turbine Anemometers Based on Combined Model Deep Learning
The dynamic working environment brings challenges to the condition monitoring of anemometers. To accurately grasp the actual performance status of wind turbines (WTs) and timely detect anemometer faults, a com...
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Chapter
Open Issues
In this chapter, we will discuss three important open issues, which can further enable readers to understand this monograph from a more comprehensive perspective.
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Chapter
Conclusions
In this monograph, we have introduced the latest research about urban crowdsensing. Specifically, in Part I, we focused on utilizing crowdsensing to sense the smart city in terms of fundamental issues of three...
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Chapter
Incentivizing Platform-Users with Win-Win Effects
To ensure the effectiveness of crowdsensing, it is of vital importance to incentivize the interactions of participants and platforms. However, existing approaches are incapable of personalized bidding (PB), i.e.,...
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Chapter
Data Transmission Empowered by Edge Computing
Intelligent Transportation Systems (ITSs) have been applied in a wide range to provide traffic sensing data for various smart traffic applications. However, the missing data, which is inevitable and ubiquitous...
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Chapter
Urban Traffic Application: Traffic Volume Prediction
As smart cities and smart buildings develop rapidly, they generate a large number of building sensing data by the equipped sensors. There is no doubt that building sensing data shines a bright future to enrich...
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Chapter and Conference Paper
Community Detection Based on Enhancing Graph Autoencoder with Node Structural Role
The representation learning approach aims to obtain a low-dimensional representation of nodes and accomplish community detection by clustering. Adjacency matrix is the most common form of network representatio...
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Chapter
Task Recommendation Based on Big Data Analysis
With the prevalence of Mobility-on-Demand (MOD) vehicles, MOD-Vehicular-Crowdsensing (MOVE-CS) was brought in and has become a whole new market. By MOVE-CS, drivers can make more money by gathering road data. ...
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Chapter
Environmental Protection Application: Urban Pollution Monitoring
The application of crowd-sensing networks is a low-cost and promising approach to identify low-level radiation sources, which is rather crucial for the security and protection of modern cities. Nevertheless, i...
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Chapter
Airborne Sensing Application: Reusing Delivery Drones
Due to the expanding number and massive coverage, delivery drones with various sensors, have shown huge yet unexplored potentials in large-scale and low-cost urban crowdsensing in terms of package delivery. We...
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Chapter and Conference Paper
Capacity Analysis of Ambient Backscatter System with Bernoulli Distributed Excitation
In recent years, building Internet of Things (IoT) systems through backscatter communication techniques has gained rapid popularity. Backscatter communication relying on passive reflections of the existing RF ...
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Chapter and Conference Paper
Online DAG Scheduling with On-Demand Function Configuration in Edge Computing
Modern applications in mobile computing become increasingly complex and computation intensive. Task offloading from mobile devices to the cloud is more and more frequent. Edge Computing, deploying relatively s...
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Chapter and Conference Paper
A Self-organizing Base Station Slee** Strategy in Small Cell Networks Using Local Stable Matching Games
A distributed small-base stations (s-BSs) slee** approach is proposed for optimizing energy efficiency (EE) in small cell networks (SCNs). Different from the existing studies, the associating preferences of ...
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Chapter and Conference Paper
You Can Write Numbers Accurately on Your Hand with Smart Acoustic Sensing
Although smartwatch has drawn many attentions in recent years, small and inconvenient interaction mode limits the prevalence of smartwatches. Writing numbers with hands will naturally extend the input interfa...
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Chapter and Conference Paper
You Can Charge over the Road: Optimizing Charging Tour in Urban Area
Wireless energy transfer has provided a promising technology to extend the lifetime of wireless rechargeable sensor network. Most of previous studies focus on scheduling chargers or deploying stationary chargi...
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Chapter and Conference Paper
Accurate Identification of Low-Level Radiation Sources with Crowd-Sensing Networks
The use of crowd-sensing networks is a promising and low-cost way for identifying low-level radiation sources, which is greatly important for the security protection of modern cities. However, it is challengin...
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Chapter and Conference Paper
Narthil: Push the Limit of Cross Technology Coexistence for Interfered Preambles
Recent studies show that cross technology interference is critically important for emergence of innovative applications in today’s wireless networks. Existing approaches either suffer from the constraint of th...
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Chapter and Conference Paper
FOAM: Frequency-Offset Aware Multiple Client Selection for Cooperative Packet Recovery System
Software radio systems are playing fundamentally important role for develo** intelligent and advanced wireless network system. For cooperative network design, especially loosely coupled system, e.g., the mul...
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Chapter and Conference Paper
Force Identification by Using SVM and CPSO Technique
A novel method is presented to determine the external dynamic forces applied on structures from measured structural responses in this paper. The method utilizes a new SVM-CPSO model that hybridized the chaos p...
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Chapter and Conference Paper
Deadline Probing: Towards Timely Cognitive Wireless Network
A confidential and effective probing is fundamental to a cooperative and cognitive wireless network. Previous seminar works are not deadline sensitive, and often suffer from highly dynamic multi-channel enviro...