Research Issues in the Development of Context-Aware Middleware Architectures

Author(s):  
Hung Quoc Ngo ◽  
A. Shehzad ◽  
Kim Anh Pham Ngoc ◽  
S.Y. Lee ◽  
Manwoo Jeon
Author(s):  
Yuanping Li ◽  
Ling Feng ◽  
Lizhu Zhou

Context is an essential element in mobile and ubiquitous computing. Users’ information needs can be better understood and supplied by means of context-awareness. Context data may be sensed, inferred, or directly input by users, and so forth, which calls for specific query mechanisms to acquire context information. On the other hand, traditional non-context-aware database querying techniques need to be re-examined, taking query context into account. In order to design effective context-aware database query processing mechanism, the authors survey the latest developed context-aware querying techniques in the data management field. They outline six ways to query context directly, and provide a categorization about how to use context in querying traditional databases. The approaches of handling imperfect context in context-aware database querying are also described. They discuss some potential research issues to be addressed at the end of the chapter.


Author(s):  
Kenji Tei ◽  
Shunichiro Suenaga ◽  
Yoshiyuki Nakamura ◽  
Yuichi Sei ◽  
Hikotoshi Nakazato ◽  
...  

In pervasive computing environment (Satyanarayanan, 2001), common context management system, that make context of the real world be shared among the context-aware applications, is required to reduce development cost of each context-aware applications. A wireless sensor network (WSN) will be a key infrastructure for the context management system. Towards pervasive computing, a WSN integrated into context management system should be open infrastructure. In an open WSN should (1)handle various kinds of tasks, (2)manage tasks at runtime, (3)save resource consumption, and (4)adapt to changes of environments. To develop such an open WSN, middleware supports are needed, and our XAC project tries to develop a middleware for the open WSN. The XAC project is a research project to develop a middleware for open WSN. In this chapter, the auhors show research issues related to open WSN from the viewpoints of task description language, runtime task management, self-adaptability, and security.


2018 ◽  
Vol 7 (3) ◽  
pp. 1869
Author(s):  
Zineb Aarab ◽  
Asmae El Ghazi ◽  
Rajaa Saidi ◽  
Moulay Driss Rahmani

Recently, the development of wireless sensor networks (WSNs) is spreading rapidly. WSNs are highly distributed self-organized systems which comprise a large number of resource constrained sensor nodes. Developers of WSNs face many challenges from communication, memory, limited energy… Also, mobility has become a major concern for WSN researchers. Indeed, Mobile WSNs (MWSN) consist of mobile sensor nodes that can move on their own and also interact with the physical environment. Developing applications for MWSN is a complicated process because of the wide variety of WSN applications and low-level implementation details. Integrating context-awareness can improve MWSN applications results. In this paper, some research issues and challenges involved in the design of WSNs are presented. Model-Driven Engineering offers an effective solution to WSN application developers by hiding the details of lower layers and raising the level of abstraction. In this sense, we propose a context-aware WSN architecture and WSN metamodel to ease the work for developers in this field. 


Author(s):  
Jhoanna Rhodette Pedrasa ◽  
Eranga Perera ◽  
Aruna Seneviratne

Context is any information that can enhance a computing system’s relevance, timeliness, and usefulness to the user. Recent research has been devoted to the use of context in a mobile environment, particularly in handling the mobility itself. This chapter will start with defining what context is, how it is represented, and present a generalized system architecture. The authors then look at the problem of mobility in general and discuss existing solutions. Next they show how context can be leveraged to achieve more intelligent mobility management decisions. The authors highlight some of the research issues particular to context-aware mobility management and survey existing solutions. Last, they argue that these solutions have not truly addressed these issues and present their own architecture for handling mobility.


Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2464 ◽  
Author(s):  
A. S. M. Kayes ◽  
Rudri Kalaria ◽  
Iqbal H. Sarker ◽  
Md. Saiful Islam ◽  
Paul A. Watters ◽  
...  

Over the last few decades, the proliferation of the Internet of Things (IoT) has produced an overwhelming flow of data and services, which has shifted the access control paradigm from a fixed desktop environment to dynamic cloud environments. Fog computing is associated with a new access control paradigm to reduce the overhead costs by moving the execution of application logic from the centre of the cloud data sources to the periphery of the IoT-oriented sensor networks. Indeed, accessing information and data resources from a variety of IoT sources has been plagued with inherent problems such as data heterogeneity, privacy, security and computational overheads. This paper presents an extensive survey of security, privacy and access control research, while highlighting several specific concerns in a wide range of contextual conditions (e.g., spatial, temporal and environmental contexts) which are gaining a lot of momentum in the area of industrial sensor and cloud networks. We present different taxonomies, such as contextual conditions and authorization models, based on the key issues in this area and discuss the existing context-sensitive access control approaches to tackle the aforementioned issues. With the aim of reducing administrative and computational overheads in the IoT sensor networks, we propose a new generation of Fog-Based Context-Aware Access Control (FB-CAAC) framework, combining the benefits of the cloud, IoT and context-aware computing; and ensuring proper access control and security at the edge of the end-devices. Our goal is not only to control context-sensitive access to data resources in the cloud, but also to move the execution of an application logic from the cloud-level to an intermediary-level where necessary, through adding computational nodes at the edge of the IoT sensor network. A discussion of some open research issues pertaining to context-sensitive access control to data resources is provided, including several real-world case studies. We conclude the paper with an in-depth analysis of the research challenges that have not been adequately addressed in the literature and highlight directions for future work that has not been well aligned with currently available research.


Author(s):  
P.E. Russell ◽  
I.H. Musselman

Scanning tunneling microscopy (STM) has evolved rapidly in the past few years. Major developments have occurred in instrumentation, theory, and in a wide range of applications. In this paper, an overview of the application of STM and related techniques to polymers will be given, followed by a discussion of current research issues and prospects for future developments. The application of STM to polymers can be conveniently divided into the following subject areas: atomic scale imaging of uncoated polymer structures; topographic imaging and metrology of man-made polymer structures; and modification of polymer structures. Since many polymers are poor electrical conductors and hence unsuitable for use as a tunneling electrode, the related atomic force microscopy (AFM) technique which is capable of imaging both conductors and insulators has also been applied to polymers.The STM is well known for its high resolution capabilities in the x, y and z axes (Å in x andy and sub-Å in z). In addition to high resolution capabilities, the STM technique provides true three dimensional information in the constant current mode. In this mode, the STM tip is held at a fixed tunneling current (and a fixed bias voltage) and hence a fixed height above the sample surface while scanning across the sample surface.


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