Spatial Stackelberg Incentive Mechanism For Privacy Aware Mobile Crowd Sensing PDF Download
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| Author | : Jing Yang Koh |
| Publisher | : |
| Total Pages | : 31 |
| Release | : 2018 |
| Genre | : |
| ISBN | : |
Download Spatial Stackelberg Incentive Mechanism for Privacy-Aware Mobile Crowd Sensing Book in PDF, ePub and Kindle
Mobile crowd sensing is an emerging sensing paradigm where sensing applications buy sensor data from spatially distributed mobile smartphone users (workers) instead of deploying their own sensor networks. This reduces costs and enhances the range of possible applications that can be developed, since the application developers can focus on other tasks such as spatial field reconstruction or estimation of some spatial characteristics for a process being sensed.In many spatial monitoring applications, the crowdsourcer needs to incentivize smartphone users to contribute sensing data such that the collected dataset has good spatial coverage and can be used for accurate spatial regression that will meet quality of service requirements applicable to the product on offer from the application.To further incentivize privacy-concerned workers to contribute, we propose a novel Stackelberg incentive mechanism that allows workers to specify their location whilst satisfying their location privacy requirements. We then derive a unique Stackelberg equilibrium which demonstrates the stability of our approach. Next, we prove the existence of a Stackelberg equilibrium in this spatial game context in which the crowdsourcer imposes constraints on the minimum and maximum data contributions for each user, and we study sufficient conditions for achieving Pareto efficiency. We develop efficient algorithms to solve for the equilibrium for the follower and leader games via a backward induction formulation.We apply our theoretical and methodological results to a real-world application and our simulation results show that our proposed Stackelberg incentive model is better in terms of predictive mean and variance compared to the disk and k-depth coverage maximizing schemes.
| Author | : Fen Hou |
| Publisher | : Springer |
| Total Pages | : 52 |
| Release | : 2018-10-24 |
| Genre | : Technology & Engineering |
| ISBN | : 3030010244 |
Download Mobile Crowd Sensing: Incentive Mechanism Design Book in PDF, ePub and Kindle
This SpringerBrief investigates and reviews the development and various applications of mobile crowd sensing (MCS). With the miniaturization of sensors and the popularity of smart mobile devices, MCS becomes a promising solution to efficiently collect different types of information, such as traffic conditions, air quality, temperature and more, which is covered in this brief. The features, novelty, and applications of MCS are elaborated in detail in this brief. In addition, the basic knowledge about auction theory and incentive mechanism design is introduced. Incentive mechanism design plays a key role in the success of MCS. With an efficient incentive mechanism, it is possible to attract enough mobile users to participate in a MCS system, thus enough high quality sensing data can be collected. Two types of incentive mechanisms with different system models are introduced in this brief. One is the reputation-aware incentive mechanism, and another is the social-aware incentive mechanism. This SpringerBrief covers the significance and the impacts of both reputation and social relationship of smartphone users (SUs) in MCS and presents extensive simulation results to demonstrate the good performance of the proposed incentive mechanisms compared with some existing counterparts. The target audience for this SpringerBrief is researchers and engineers in the area of wireless communication and networking, especially those who are interested in the mobile crowd sensing or incentive mechanism design. Meanwhile, it is also intended as a reference guide for advanced level students in the area of wireless communications and computer networks.
| Author | : Jie Wu |
| Publisher | : Springer Nature |
| Total Pages | : 456 |
| Release | : 2023-07-16 |
| Genre | : Computers |
| ISBN | : 3031323971 |
Download Mobile Crowdsourcing Book in PDF, ePub and Kindle
This book offers the latest research results in recent development on the principles, techniques and applications in mobile crowdsourcing. It presents state-of-the-art content and provides an in-depth overview of the basic background in this related field. Crowdsourcing involves a large crowd of participants working together to contribute or produce goods and services for the society. The early 21st century applications of crowdsourcing can be called crowdsourcing 1.0, which includes businesses using crowdsourcing to accomplish various tasks, such as the ability to offload peak demand, access cheap labor, generate better results in a timely matter, and reach a wider array of talent outside the organization. Mobile crowdsensing can be described as an extension of crowdsourcing to the mobile network to combine the idea of crowdsourcing with the sensing capacity of mobile devices. As a promising paradigm for completing complex sensing and computation tasks, mobile crowdsensing serves the vital purpose of exploiting the ubiquitous smart devices carried by mobile users to make conscious or unconscious collaboration through mobile networks. Considering that we are in the era of mobile internet, mobile crowdsensing is developing rapidly and has great advantages in deployment and maintenance, sensing range and granularity, reusability, and other aspects. Due to the benefits of using mobile crowdsensing, many emergent applications are now available for individuals, business enterprises, and governments. In addition, many new techniques have been developed and are being adopted. This book will be of value to researchers and students targeting this topic as a reference book. Practitioners, government officials, business organizations and even customers -- working, participating or those interested in fields related to crowdsourcing will also want to purchase this book.
| Author | : Linghe Kong |
| Publisher | : Springer |
| Total Pages | : 127 |
| Release | : 2019-06-08 |
| Genre | : Computers |
| ISBN | : 9811377766 |
Download When Compressive Sensing Meets Mobile Crowdsensing Book in PDF, ePub and Kindle
This book provides a comprehensive introduction to applying compressive sensing to improve data quality in the context of mobile crowdsensing. It addresses the following main topics: recovering missing data, efficiently collecting data, preserving user privacy, and detecting false data. Mobile crowdsensing, as an emerging sensing paradigm, enables the masses to take part in data collection tasks with the aid of powerful mobile devices. However, mobile crowdsensing platforms have yet to be widely adopted in practice, the major concern being the quality of the data collected. There are numerous causes: some locations may generate redundant data, while others may not be covered at all, since the participants are rarely systematically coordinated; privacy is a concern for some people, who don’t wish to share their real-time locations, and therefore some key information may be missing; further, some participants may upload fake data in order to fraudulently gain rewards. To address these problematic aspects, compressive sensing, which works by accurately recovering a sparse signal using very few samples, has proven to offer an effective solution.
| Author | : Haiming Jin |
| Publisher | : |
| Total Pages | : |
| Release | : 2017 |
| Genre | : |
| ISBN | : |
Download Incentive Mechanism Design for Mobile Crowd Sensing Systems Book in PDF, ePub and Kindle
| Author | : Zhaoquan Gu |
| Publisher | : Springer Nature |
| Total Pages | : 412 |
| Release | : |
| Genre | : |
| ISBN | : 9819745195 |
Download Network Simulation and Evaluation Book in PDF, ePub and Kindle
| Author | : |
| Publisher | : |
| Total Pages | : |
| Release | : 2017 |
| Genre | : |
| ISBN | : |
Download Location Privacy-Preserving Method for Auction-Based Incentive Mechanisms in Mobile Crowd Sensing Book in PDF, ePub and Kindle
Abstract It is of significant importance to provide incentives to smartphone users in mobile crowd sensing systems. Recently, a number of auction-based incentive mechanisms have been proposed. However, an auction-based incentive mechanism may unexpectedly release the location privacy of smartphone users, which may seriously reduce the willingness of users participating in contributing sensing data. In an auction-based incentive mechanism, even if the location of a user is not enclosed in his/her bid submitted to the platform, the location information may still be inferred by an adversary by using the prices of the tasks required by the user. We take an example to show how an attack can recover the location information of a smartphone user by merely knowing his/her bid. To defend against such an attack, we propose a method to protect location privacy in auctions for mobile crowd sensing systems. This method encrypts prices in a bid so that the adversary cannot access and hence the location privacy of users can be protected. In the meanwhile, however, the auction can proceed properly, i.e. the platform can select the user offering the lowest price for each sensing task or the platform can choose users with budget constraint. We demonstrate the effectiveness of our proposed method with theoretical analysis and simulations.
| Author | : Leonard Barolli |
| Publisher | : Springer Nature |
| Total Pages | : 1487 |
| Release | : 2020-03-30 |
| Genre | : Technology & Engineering |
| ISBN | : 3030440389 |
Download Web, Artificial Intelligence and Network Applications Book in PDF, ePub and Kindle
This proceedings book presents the latest research findings, and theoretical and practical perspectives on innovative methods and development techniques related to the emerging areas of Web computing, intelligent systems and Internet computing. The Web has become an important source of information, and techniques and methodologies that extract quality information are of paramount importance for many Web and Internet applications. Data mining and knowledge discovery play a key role in many of today's major Web applications, such as e-commerce and computer security. Moreover, Web services provide a new platform for enabling service-oriented systems. The emergence of large-scale distributed computing paradigms, such as cloud computing and mobile computing systems, has opened many opportunities for collaboration services, which are at the core of any information system. Artificial intelligence (AI) is an area of computer science that builds intelligent systems and algorithms that work and react like humans. AI techniques and computational intelligence are powerful tools for learning, adaptation, reasoning and planning, and they have the potential to become enabling technologies for future intelligent networks. Research in the field of intelligent systems, robotics, neuroscience, artificial intelligence and cognitive sciences is vital for the future development and innovation of Web and Internet applications. Chapter "An Event-Driven Multi Agent System for Scalable Traffic Optimization" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
| Author | : Gonçalo Marques |
| Publisher | : Springer Nature |
| Total Pages | : 137 |
| Release | : 2022-09-16 |
| Genre | : Technology & Engineering |
| ISBN | : 3031097297 |
Download Internet of Things for Smart Environments Book in PDF, ePub and Kindle
This book aims to introduce recent advances in IoT and its applications for smart environments. The state of the art is reviewed with a focus on the technologies, applications, challenges, and opportunities. At this stage, a comprehensive understanding of the formal and practical applications of IoT in the different scenarios of smart environments is necessary to support future research. Therefore, the main contribution of this book is a comprehensive study of the most recent proposals for smart environments. In addition, this book synthesizes existing information and highlights common threads and gaps that lead to new and complex areas of future research. The book covers a range of major research subjects which will foster future implementations. The topics include smart learning environments, crowdsensing applications, participatory citizen sensing, multimodal perception systems and security challenges. This book seeks to provide a valuable framework for future research projects by expounding the topic to academics, engineers, and industry professionals, which is necessary for the design of future IoT architectures for smart environments.
| Author | : Dongxiao Yu |
| Publisher | : Springer Nature |
| Total Pages | : 151 |
| Release | : 2020-09-08 |
| Genre | : Computers |
| ISBN | : 3030590194 |
Download Wireless Algorithms, Systems, and Applications Book in PDF, ePub and Kindle
The two-volume set LNCS 12385 + 12386 constitutes the proceedings of the 15th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2020, which was held during September 13-15, 2020. The conference was planned to take place in Qingdao, China; due to the COVID-19 pandemic it was held virtually. The 67 full and 14 short papers presented in these proceedings were carefully reviewed and selected from 216 submissions. The papers focus on data path algorithms; control path algorithms; network protocol design; network security; network services; and cloud computing.
