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| 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 | : 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 | : Youqi Li |
| Publisher | : Springer Nature |
| Total Pages | : 137 |
| Release | : 2024-01-03 |
| Genre | : Computers |
| ISBN | : 9819969212 |
Download Incentive Mechanism for Mobile Crowdsensing Book in PDF, ePub and Kindle
Mobile crowdsensing (MCS) is emerging as a novel sensing paradigm in the Internet of Things (IoTs) due to the proliferation of smart devices (e.g., smartphones, wearable devices) in people’s daily lives. These ubiquitous devices provide an opportunity to harness the wisdom of crowds by recruiting mobile users to collectively perform sensing tasks, which largely collect data about a wide range of human activities and the surrounding environment. However, users suffer from resource consumption such as battery, processing power, and storage, which discourages users’ participation. To ensure the participation rate, it is necessary to employ an incentive mechanism to compensate users’ costs such that users are willing to take part in crowdsensing. This book sheds light on the design of incentive mechanisms for MCS in the context of game theory. Particularly, this book presents several game-theoretic models for MCS in different scenarios. In Chapter 1, the authors present an overview of MCS and state the significance of incentive mechanism for MCS. Then, in Chapter 2, 3, 4, and 5, the authors propose a long-term incentive mechanism, a fair incentive mechanism, a collaborative incentive mechanism, and a coopetition-aware incentive mechanism for MCS, respectively. Finally, Chapter 6 summarizes this book and point out the future directions. This book is of particular interest to the readers and researchers in the field of IoT research, especially in the interdisciplinary field of network economics and IoT.
| Author | : Tao, Xi |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2020 |
| Genre | : Crowdsourcing |
| ISBN | : |
Download Task Allocation and Incentive Mechanism Design for Mobile Crowdsensing Book in PDF, ePub and Kindle
Mobile crowdsensing (MCS) is a new paradigm of data collection with large-scale sensing. A group of users with mobile devices (e.g., smartphones, tablet computers, and wearables) are recruited as workers to move around in a specific region and carry out sensing tasks. There are two key problems in MCS, i.e., task allocation problem and incentive mechanism design. In this thesis, we build a MCS framework and provide solutions to its two key problems. Specifically, we focus on (1) the task allocation problem in the static scenarios, in which the information of tasks and workers are known at the beginning of sensing activities; (2) the task allocation problem in the dynamic scenarios when the platform cannot obtain the information of workers before their arrivals; and (3) the incentive mechanism design that motivates workers to participate in the sensing activities. Our proposed MCS framework is associated with two important components to deal with the task allocation problem and incentive mechanism design, respectively. The task allocation problem is considered and formulated as a path planning problem since the tasks in the MCS framework are generally location-dependent. We first plan paths for workers in the static scenarios. Meanwhile, we take two different modes of path planning into account, i.e., the platform-centric mode and workercentric mode. To solve the path planning problem in these two modes, we propose an evolutionary algorithm and a heuristic algorithm, respectively. Second, we investigate the dynamic task allocation problem. Although the platform has incomplete information of workers, we explore several online algorithms to achieve the satisfactory performance. Third, we design a location-protected and truthful incentive mechanism to motivate workers to move around and accomplish sensing tasks. Based on the results of path planning, we use the auction theory to ensure workers to provide their true private information including costs and task sets. The overall performance of our proposed framework is extensively evaluated through simulations and the simulation results illustrate the effectiveness and efficiency of our solutions in the proposed framework.
| Author | : Gang Li |
| Publisher | : Springer Nature |
| Total Pages | : 119 |
| Release | : 2024 |
| Genre | : Wireless communication systems |
| ISBN | : 3031584538 |
Download Efficient Online Incentive Mechanism Designs for Wireless Communications Book in PDF, ePub and Kindle
This book initially delves into its fundamentals to initiate the exploration of online incentive mechanisms in wireless communications. Three case studies are provided to elaborate details on designing online mechanism design in practical system. For crowdsensing with random task arrivals, this book introduces a linear online incentive mechanism model with insurance of the quality of information for each incoming task. In the context of edge computing systems, the authors model a nonlinear online incentive mechanism with the consideration of mobile users energy budget constraints. It also explores online incentive mechanism for collaborative task offloading in mobile edge computing to achieve on-arrival instant responses. This book not only disseminates current knowledge but also sheds light on future research directions. The design of incentive mechanisms in wireless communication systems is of paramount importance as it encourages dormant terminals within networks to contribute their valuable resources. The consideration of randomness of network processes enhances the mechanism design under online settings and decision making on the fly. This book endeavours to bridge existing knowledge gaps by comprehensively presenting and developing fundamental insights into online incentive mechanisms and their design methods in the realm of wireless communications. Its one of the first books to provide a comprehensive understanding of the fundamental principles of online incentive mechanisms and their intricately designed methods in the dynamic world of wireless communications. Future research directions include an investigation in the evolving domain of online incentive mechanism designs within wireless communications. This book strikes a balance between theoretical knowledge and practical application, making it a valuable resource for both researchers and practitioners in the field of wireless communications and network economics. Advanced-level students majoring in computer science and/or electrical engineering will want to purchase this book as a study guide.
| 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 | : Cristian Borcea |
| Publisher | : CRC Press |
| Total Pages | : 207 |
| Release | : 2016-12-01 |
| Genre | : Computers |
| ISBN | : 1315352419 |
Download Mobile Crowdsensing Book in PDF, ePub and Kindle
Mobile crowdsensing is a technology that allows large scale, cost-effective sensing of the physical world. In mobile crowdsensing, mobile personal devices such as smart phones or smart watches come equipped with a variety of sensors that can be leveraged to collect data related to environment, transportation, healthcare, safety and so on. This book presents the first extensive coverage of mobile crowdsensing, with examples and insights drawn from the authors’ extensive research on this topic as well as from the research and development of a growing community of researchers and practitioners working in this emerging field. Throughout the text, the authors provide the reader with various examples of crowdsensing applications and the building blocks to creating the necessary infrastructure, explore the related concepts of mobile sensing and crowdsourcing, and examine security and privacy issues introduced by mobile crowdsensing platforms. Provides a comprehensive description of mobile crowdsensing, a one-stop shop for all relevant issues pertaining to mobile crowdsensing, including motivation, applications, design and implementation, incentive mechanisms, and reliability and privacy. Describes the design and implementations of mobile crowdsensing platforms of great interest for the readers working in research and industry to quickly implement and test their systems. Identifies potential issues in building such mobile crowdsensing applications to ensure their usability in real life and presents future directions in mobile crowdsensing by emphasizing the open problems that have to be addressed.
| Author | : Yuyu Yin |
| Publisher | : Springer Nature |
| Total Pages | : 245 |
| Release | : 2019-09-24 |
| Genre | : Computers |
| ISBN | : 3030284689 |
Download Mobile Computing, Applications, and Services Book in PDF, ePub and Kindle
This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Mobile Computing, Applications, and Services, MobiCASE 2019, held in Hangzhou, China, in June 2019. The 17 full papers were carefully reviewed and selected from 48 submissions. The papers are organized in topical sections on mobile application with data analysis, mobile application with AI, edge computing, energy optimization and application
| 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 | : F. Xhafa |
| Publisher | : IOS Press |
| Total Pages | : 326 |
| Release | : 2020-03-10 |
| Genre | : Computers |
| ISBN | : 1643680633 |
Download Advances in Edge Computing: Massive Parallel Processing and Applications Book in PDF, ePub and Kindle
The rapid advance of Internet of Things (IoT) technologies has resulted in the number of IoT-connected devices growing exponentially, with billions of connected devices worldwide. While this development brings with it great opportunities for many fields of science, engineering, business and everyday life, it also presents challenges such as an architectural bottleneck – with a very large number of IoT devices connected to a rather small number of servers in Cloud data centers – and the problem of data deluge. Edge computing aims to alleviate the computational burden of the IoT for the Cloud by pushing some of the computations and logics of processing from the Cloud to the Edge of the Internet. It is becoming commonplace to allocate tasks and applications such as data filtering, classification, semantic enrichment and data aggregation to this layer, but to prevent this new layer from itself becoming another bottleneck for the whole computing stack from IoT to the Cloud, the Edge computing layer needs to be capable of implementing massively parallel and distributed algorithms efficiently. This book, Advances in Edge Computing: Massive Parallel Processing and Applications, addresses these challenges in 11 chapters. Subjects covered include: Fog storage software architecture; IoT-based crowdsourcing; the industrial Internet of Things; privacy issues; smart home management in the Cloud and the Fog; and a cloud robotic solution to assist medical applications. Providing an overview of developments in the field, the book will be of interest to all those working with the Internet of Things and Edge computing.
