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The dissertation proposes three adaptations in the mobility management domain. The first is joint multi-layer adaptation. In this adaptation, application, network and data link layers jointly support mobility management for heterogeneous networks. The second and third adaptations are single-layer mobility management solutions. Context-Aware Adaptive Multi-homed Mobile IP is an extension to Multi-homed Mobile IP which is proposed as a single-layer entity-executed adaptation that the (CA)2RW-Com framework supports. Adaptive Performance Metric is a single-layer system-executed adaptation proposed for Access Point selection of IEEE 802.11 networks. We have modelled and validated supporting joint multi-layer mobility management proposed in the (CA)2RW-Com framework. Further, we have enabled, implemented and evaluated the single-layer mobility management solutions we propose in a simulation environment. Moreover, the dissertation discusses the prototype implementation of the (CA)2RW-Com framework and communication specification. The dissertation also presents the operational statistics of the prototype. In summary, this research presents a cohesive and holistic approach for defining a generic context-aware cross-layer framework for wireless local area networks. Further, it proposes and validates cross-layer context-aware adaptive mobility management approaches. To date, the results of this research have been published in ten peer-reviewed publications and one journal article is currently under review.
Context-aware computing has been the center of attention in computer science research for many years. Context-aware systems gather contextual data from their sensors, other cooperative nodes or persistent databases and adapt to this information without requiring explicit user intervention. In this thesis we first address the benefits of certain contextual data (such as network connectivity, communication bandwidth, cost of operation, user's location, as well as nearby people and objects) applied to wireless networks. Other important contextual data include social surrounding, environment related conditions, and time context (time of day, month, season, or year). As a result of advancements in technology, the accessing, storing, and incorporating of such massive amounts of data has become a mainstream service. We then develop active and passive localization algorithms for wireless networks. This thesis emphasizes context-aware models for the network layer of wireless and cellular networks rather than classical application layer context-awareness. We first propose a mobile client based active queue management technique which remotely controls the dedicated base station queue size significantly reducing the experienced packet latency. Here, mobile makes use of its knowledge of the underlying cellular technology to enhance the end user experience. We then introduce a packet size aware path setup mechanism for wireless mesh networks where routers benefit from packet size information in computing the optimal route. Both techniques are implemented on real hardware; implementation details and practical considerations are also provided. The second part of this thesis focuses on locating a target in wireless networks. First, we propose a localization algorithm that uses the multipath profile of a mobile device in a cellular network. This algorithm is implemented and evaluated using real data from a commercial cellular network. Finally, we provided linear least squares and neural network techniques for active and passive localization algorithms in a sensor network. The term active localization indicates that the target is active in the localization process, while passive localization refers to locating an uncooperative target.
Digital Advances in Medicine, E-Health, and Communication Technologies explores the developments and trends in medical informatics and its approaches toward telemedicine and e-health applications. This comprehensive collection of research brings together academia and industry by highlighting recent advances in electronic health, medical communications and applications for e-health and medicine.
With the rapid development of big data, it is necessary to transfer the massive data generated by end devices to the cloud under the traditional cloud computing model. However, the delays caused by massive data transmission no longer meet the requirements of various real-time mobile services. Therefore, the emergence of edge computing has been recently developed as a new computing paradigm that can collect and process data at the edge of the network, which brings significant convenience to solving problems such as delay, bandwidth, and off-loading in the traditional cloud computing paradigm. By extending the functions of the cloud to the edge of the network, edge computing provides effective data access control, computation, processing and storage for end devices. Furthermore, edge computing optimizes the seamless connection from the cloud to devices, which is considered the foundation for realizing the interconnection of everything. However, due to the open features of edge computing, such as content awareness, real-time computing and parallel processing, the existing problems of privacy in the edge computing environment have become more prominent. The access to multiple categories and large numbers of devices in edge computing also creates new privacy issues. In this book, we discuss on the research background and current research process of privacy protection in edge computing. In the first chapter, the state-of-the-art research of edge computing are reviewed. The second chapter discusses the data privacy issue and attack models in edge computing. Three categories of privacy preserving schemes will be further introduced in the following chapters. Chapter three introduces the context-aware privacy preserving scheme. Chapter four further introduces a location-aware differential privacy preserving scheme. Chapter five presents a new blockchain based decentralized privacy preserving in edge computing. Chapter six summarize this monograph and propose future research directions. In summary, this book introduces the following techniques in edge computing: 1) describe an MDP-based privacy-preserving model to solve context-aware data privacy in the hierarchical edge computing paradigm; 2) describe a SDN based clustering methods to solve the location-aware privacy problems in edge computing; 3) describe a novel blockchain based decentralized privacy-preserving scheme in edge computing. These techniques enable the rapid development of privacy-preserving in edge computing.
Adaptive techniques play a key role in modern wireless communication systems. The concept of adaptation is emphasized in the Adaptation in Wireless Communications Series through a unified framework across all layers of the wireless protocol stack ranging from the physical layer to the application layer, and from cellular systems to next-generation wireless networks. Adaptation and Cross Layer Design in Wireless Networks is devoted to adaptation in the data link layer, network layer, and application layer. The book presents state-of-the-art adaptation techniques and methodologies, including cross-layer adaptation, joint signal processing, coding and networking, selfishness in mobile ad hoc networks, cooperative and opportunistic protocols, adaptation techniques for multimedia support, self –organizing routing, and tunable security services. It presents several new theoretical paradigms and analytical findings which are supported with various simulation and experimental results. Adaptation in wireless communications is needed in order to achieve high capacity and ubiquitous communications. The current trend in wireless communication systems is to make adaptation dependent upon the state of the relevant parameters in all layers of the system. Focusing on simplified cross layer design approaches, this volume describes advanced techniques such as adaptive resource management, adaptive modulation and coding, 4G communications, QoS, diversity combining, and energy and mobility aware MAC protocols. The first volume in the series, Adaptive Signal Processing in Wireless Communications (cat no.46012) covers adaptive signal processing at the physical layer.
Cooperative devices and mechanisms are increasingly important to enhance the performance of wireless communications and networks, with their ability to decrease power consumption and packet loss rate and increase system capacity, computation, and network resilience. Considering the wide range of applications, strategies, and benefits associated wit
Research and development in wireless and mobile networks and services areas have been going on for some time, reaching the stage of products. Graceful evo- tion of networks, new access schemes, flexible protocols, increased variety of services and applications, networks reliability and availability, security, are some of the present and future challenges that have to be met. MWCN (Mobile and Wireless Communications Networks) and PWC (Personal Wireless Communications) are two conferences sponsored by IFIP WG 6.8 that provide forum for discussion between researchers, practitioners and students interested in new developments in mobile and wireless networks, services, applications and computing. In 2008, MWCN and PWC were held in Toulouse, France, from September 30 to October 2, 2008. MWNC’2008 and PWC’2008 were coupled to form the first edition of IFIP Wireless and Mobile Networking Conference (WMNC’2008). MWCN and PWC topics were revisited in order to make them complementary and covering together the main hot issues in wireless and mobile networks, services, applications, computing, and technologies.
This book offers a comprehensive explanation on how to dimension, plan, and optimize WiMAX networks. The first part of the text introduces WiMAX networks architecture, physical layer, standard, protocols, security mechanisms, and highly related radio access technologies. It covers system framework, topology, capacity, mobility management, handoff m