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With the rapid development of intelligent transportation systems, modern society is at an unimaginable speed to produce massive data. How to make full use of valuable information in big data is particularly important. This paper summarizes the basic concepts of association rule mining and how to use the Apriori algorithm for correlation analysis in massive data. In addition, the Apriori algorithm...
In this paper, consensus-based Kalman filtering is extended to deal with the problem of joint target tracking and sensor self-localization in a distributed wireless sensor network. The average weighted Kullback-Leibler divergence, which is a function of the unknown drift parameters, is employed as the cost to measure the discrepancy between the fused posterior distribution and the local distribution...
Mobile Crowdsourced Access (MCA) enables mobile users (MUs) to share their Internet connections by serving as tethers to other MUs, hence can improve the quality of service of MUs as well as the overall utilization of network resources. However, MCA can also reduce the revenue-generating mobile traffic and increase the network congestion for mobile network operators (MNOs), and thus has been blocked...
Crowdsourced mobile video streaming enables nearby mobile video users to aggregate their network resources to improve the video streaming performance. However, users are often selfish and may not be willing to cooperate without proper incentives. Designing an incentive mechanism for such a scenario is challenging due to the users' asynchronous downloading behaviors as well as their private valuations...
Crowdsourced WiFi community network enables individual users to form a community and share their private home WiFi access points (APs) with each other, hence can provide a much higher WiFi coverage for each user. In this work, we consider a novel crowdsourced WiFi network model, which allows users to join the community in different roles: (a) Contributor, who contributes to the community by sharing...
Rollover data plans are attractive to mobile users by allowing them to keep their unused data for future use, and hence has been widely implemented by Mobile Network Operators (MNOs) around the world. In this work, we formulate a three-stage Stackelberg game to analyze the interactions between an MNO and its subscribed users under both traditional and rollover data plans. Specifically, in Stage I,...
In this paper, the influence of Copper (Cu) barrier and seed process tuning on step coverage was analyzed. TEM images show relatively thinner barrier can improve the opening CD of a metal line structure hence improve the sidewall coverage of Cu seed. Cu Seed adopts the deposition/re-sputter method to improve the step coverage, and a higher ratio of re-sputter/deposition can increase the thickness...
As the dimensions of middle-of-line (MOL) contacts shrink, the tungsten (W) gap-filling capability becomes more critical to eliminate function failure in SRAM and logic circuit caused by W-voids. The formation of W-voids is generally related to contact profile, barrier (Ti/TiN) property and W-plug deposition method. The barrier layer may be degraded due to out-gassing from polymer residues underneath...
In the conventional mobile data plans, the unused data will be cleared at the end of every period (e.g., month). To take advantage of customers' heterogeneous demands across different periods and to provide more flexible data service, some mobile data service providers (SP) have offered data plans with different lengths of period. In this paper, we consider the data plan design problem for a single...
Mobile crowdsensing emerges as a promising sensing paradigm through leveraging the diverse embedded sensors in massive mobile devices. A key objective in mobile crowdsensing is to efficiently schedule mobile device users to perform multiple sensing tasks. Prior work mainly focused on the interactions between the task layer and the user layer, without considering the similarity of tasks' data requirements...
In this work, we study the joint optimization of edge caching and data sponsoring for a video content provider (CP), aiming at reducing the content delivery cost and increasing the CP's revenue. Specifically, we formulate the joint optimization problem as a two-stage decision problem for the CP. In Stage I, the CP determines the edge caching policy (for a relatively long time period). In Stage II,...
Power allocation is critical for location-aware networks, since transmitting power greatly affects localization accuracy and determines the lifetime of wireless networks. In this paper, we formulate a game-theoretic power allocation scheme for anchors that can achieve a desirable trade-off between power consumption and localization accuracy. We derive the closed form expression for the best response...
A key issue in the control of double fed induction generator (DFIG) wind turbine systems is to achieve an expected performance in the presence of stochastic wind speeds. To address this issue, this paper establishes a stochastic model predictive control (SMPC) scheme for the DFIG wind turbine system. The salient feature of this scheme is that it explicitly takes into account the uncertainties in wind...
Crowdsourced wireless community networks enable individual users to share their private Wi-Fi access points (APs) with each other, hence can achieve a large Wi-Fi coverage with a low deployment cost. This paper presents the first Wi-Fi sharing mechanism design for the community network operator under incomplete information, where the quality of each user-provided Wi-Fi access is his private information...
Adaptive bitrate video streaming is a widely-used technology for mobile video streaming over HTTP. In this work, we study a crowdsourced video streaming framework, which enables nearby mobile users to crowdsource their radio resources for cooperatively adaptive bitrate video streaming. We propose a multi-dimensional auction based incentive mechanism to promote the user cooperation, supporting the...
Krill herd algorithm is a new heuristic global optimization algorithm based on swarm intelligence. As the parameters are critical to the algorithm performance, they should be reasonably selected while applying krill herd algorithm to solve global optimization problems. In this paper, three parameters are included in the test analysis based on the comparison of six benchmark functions. The results...
In order to integrate more and more renewable energy resources to the main grid, single-phase grid-connected converters (GCCs) have gained more attention. However, the controller for a single-phase GCC is much more difficult to design than for a three-phase GCC. Traditionally, proportional plus integral (PI) or proportional plus resonant (PR) are widely used to control a single-phase GCC system. However,...
Accurate mobility prediction is becoming increasingly important in human behavior research, mainly due to many location-based applications such as mobile social networks and mobile advertisements. In this work, we propose a new crowd-sourced human mobility prediction model for public regions. We first analyze human trajectories collected through a cluster of densely deployed Wi-Fi access points (AP)...
There has been a proliferation of public Wi-Fi hotspots that serve a significant amount of global mobile traffic today. In this paper, we propose a general Wi-Fi monetization model for public Wi-Fi hotspots deployed by venue owners (VOs), where VOs generate revenue from providing both the premium Wi-Fi access and the advertising sponsored Wi-Fi access to mobile users (MUs). With the premium access,...
Adaptive bitrate (ABR) streaming enables video users to adapt the playing bitrate to the real-time network conditions to achieve the desirable quality of experience (QoE). In this work, we propose a novel crowdsourced streaming framework for multi-user ABR video streaming over wireless networks. This framework enables the nearby mobile video users to crowdsource their radio links and resources for...
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