On the implementation of Cognitive Autonomous Networks

This chapter looks at the literary dynamics of Arabic literature in synchronic cross-section. Inventories of canonized and non-canonized literary texts are presented separately in three subsystems: texts for adults, children’s literature, and texts in translation. The resulting six subsystems ― three canonized and three non-canonized ― are seen as autonomous networks of relationships and as interacting literary networks on various levels. The internal and external interrelationships and interactions between the various subsystems need to be studied if we want to arrive at a comprehensive understanding of the modern Arabic literary system. The structure of the canonical center of the Arabic literary system is discussed referring to the phenomenon of Islamist literature and the reasons for its exclusion from the secular literary center.

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Self-addressing for Autonomous Networking Systems

Pervasive Computing and Communications Design and Deployment ◽

10.4018/978-1-60960-611-4.ch007 ◽

2011 ◽

pp. 150-178

Author(s):

Ricardo de O. Schmidt ◽

Reinaldo Gomes ◽

Djamel Sadok ◽

Judith Kelner ◽

Martin Johnsson

Keyword(s):

Heterogeneous Networks ◽

Ad Hoc ◽

Cross Layer ◽

Challenging Problem ◽

Next Generation ◽

Network Configuration ◽

Security Issues ◽

Autonomous Networks ◽

Wide Range ◽

Network Operations

Autoconfiguration is an important functionality pursued by research in the contexts of dynamic ad hoc and next generation of networks. Autoconfiguration solutions span across all architectural layers and range from network configuration to applications, and also implement cross-layer concepts. In networking, the addressing system plays a fundamental role as long as hosts must be uniquely identified. A proper identification is the base for other network operations, such as routing and security issues. Due to its importance, addressing is a challenging problem in dynamic and heterogeneous networks, where it becomes more complex and critical. This chapter presents a review and considerations for addressing autoconfiguration, focusing on the addressing procedure. Several self-addressing solutions for autonomous networks are surveyed, covering a wide range of possible methodologies. These solutions are also categorized according to the methodology they implement, their statefulness, and the way they deal with addresses duplication and/or conflicts. Special considerations regarding conformity to IPv6 are also presented.

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Reactive Sensor Networks: Mobile Code Support for Autonomous Networks

Distributed Autonomous Robotic Systems 4 ◽

10.1007/978-4-431-67919-6_45 ◽

2000 ◽

pp. 471-472 ◽

Cited By ~ 4

Author(s):

R. R. Brooks ◽

E. Grele ◽

W. Klimkiewicz ◽

J. Moore ◽

C. Griffin ◽

...

Keyword(s):

Sensor Networks ◽

Mobile Code ◽

Autonomous Networks

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VPEF: A Simple and Effective Incentive Mechanism in Community-Based Autonomous Networks

IEEE Transactions on Network and Service Management ◽

10.1109/tnsm.2015.2397883 ◽

2015 ◽

Vol 12 (1) ◽

pp. 75-86 ◽

Cited By ~ 8

Author(s):

Yufeng Wang ◽

Athanasios V. Vasilakos ◽

Jianhua Ma

Keyword(s):

Incentive Mechanism ◽

Community Based ◽

Autonomous Networks

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Intelligent Transformer: Possibilities and Challenges

Scientific Journal of Riga Technical University Power and Electrical Engineering ◽

10.2478/v10144-011-0016-8 ◽

2011 ◽

Vol 29 (1) ◽

pp. 95-100 ◽

Cited By ~ 7

Author(s):

Beldjajev Viktor ◽

Roasto Indrek ◽

Lehtla Tõnu

Keyword(s):

Energy Management ◽

Low Frequency ◽

Power Production ◽

Future Trends ◽

Advantages And Disadvantages ◽

Autonomous Networks ◽

Production And Consumption ◽

Wide Range ◽

The Future

Intelligent Transformer: Possibilities and Challenges This paper covers the concept of an intelligent transformer that is a good candidate to replace a conventional low frequency transformer in the microgrids. As the power production and consumption can vary in a wide range, the new substations have to meet many requirements to guarantee reliable energy management in the autonomous networks. Different topologies of intelligent transformers can be used to meet these requirements. Therefore the advantages and disadvantages of the existing topologies were analyzed. The future trends and challenges are also discussed.

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