Cognitive network

About: Cognitive network is a research topic. Over the lifetime, 4213 publications have been published within this topic receiving 107093 citations.

Cognitive routing for Information-Centric sensor networks in Smart Cities

Abstract: Smart Cities are a challenging application for Wireless Sensor Networks (WSNs). The network has to deal with large deployment areas, multiple user requests with diverse requirements on information attributes such as latency and reliability, and these operations need to be mostly unattended. Elements of cognition when used in the network nodes of such demanding applications of WSNs enable them to handle the heterogeneous traffic flows and simultaneously cater to multiple end-user requests. In this work, we present Cognitive Information-Centric sensor networks (CICSN), a paradigm of WSNs in which sensory information is identified using attribute-value pairs, and elements of cognition are used to deliver data to the sink with user-desired quality of information. Latency and reliability are identified as attributes that impact the quality of information (QoI) perceived by the end user. With a use-case analysis, we show how the CICSN is able to provide user-desired QoI on the delivered data.

Sensing matrix setting schemes for cognitive networks and their performance analysis

Abstract: Powerful spectrum decision schemes enable cognitive radios (CRs) to find transmission opportunities in spectral resources allocated exclusively to the primary users. One of the key effecting factors on the CR network throughput is the spectrum sensing sequence used by each secondary user (SU). In this study, SUs' throughput maximisation through finding an appropriate sensing matrix (SM) is investigated. First, the average throughput of the CR network is evaluated for a given SM. Then, an optimisation problem based on the maximisation of the network throughput is formulated in order to find the optimal SM. As the optimum solution is very complicated, three novel suboptimal solutions are proposed for various cases including perfect and non-perfect sensing. Despite having less computational complexities as well as lower consumed energies, the proposed solutions perform quite well compared to the optimum solution. The structure and performance of the proposed SM setting schemes are discussed in detail and a set of illustrative numerical results is presented to validate their efficiencies.

A System Perspective on Cognition for Autonomic Computing and Communication

Abstract: In this paper we present a conceptual view on the incorporation of cognitive processing capabilities in future generation computer systems. We argue that cognition is at the heart of autonomic behavior, and therefore a necessary ingredient for autonomic computing and communication. We introduce a bio-inspired cognitive engine that interacts with and has control over major operating system components, and showcase, based on scenario descriptions, how communicating applications take advantage of this setup by adapting and autonomously reacting to changes in heterogeneous and widely varying network resources. As a conceptual work, this paper does not cover experiences with the implementation of the introduced concepts, nor does it describe experimental results

Cognitive wireless cloud : A network concept to handle heterogeneous and spectrum sharing type radio access networks

Abstract: This paper introduces a network concept to handle heterogeneous and spectrum sharing (white space) type radio access networks, cognitive wireless cloud (CWC). This paper explains the overview, the system architecture, and the feasibility studies. As for the feasibility studies, network implementation and the development of new base station and terminal that suit for the CWC have done by using the technologies of cognitive radio and software defined radio technologies.

Cross-layer design of P2P file sharing over mobile ad hoc networks

Abstract: Peer-to-peer file sharing over mobile ad hoc networks (MANET) has become a popular application due to the rapid growing number of mobile devices. However, the fact that mobile nodes in a MANET dynamically alter their locations and join/leave the P2P system has posted many challenges in designing a robust and scalable P2P system. Although, in the literature, flooding-based P2P approach has been shown to be robust in a highly dynamic network, it leads to poor efficiency in terms of bandwidth usage and scalability. A new design is required in which cross-layer designs and cognitive approaches could be applied such that it could interact with the requests of users and respond to dynamic change of network topology. In this paper, we propose an efficient and scalable P2P file sharing system over MANET based on Swarm Intelligence, referred to as P2PSI. By applying the cognitive behaviour of the real ant colonies, P2PSI owns the capability of adaptive learning of routing path and is able to cope with mobility problem without flooding. Moreover, P2PSI also adopts cross-layer design to reduce the redundant message overhead and query latency. Performance of P2PSI is evaluated and compared to two existing cross-layer design service discovery protocols through simulations. Our simulation results show that P2PSI achieves better performance in terms of control overhead and request success ratio.