G. Vijay

Publications (2)1.52 Total impact

• Article: Cognition in Wireless Sensor Networks: A Perspective

  G. Vijay, E. Ben Ali Bdira, M. Ibnkahla
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  ABSTRACT: Wireless Sensor Networks are believed to be the enabling technology for Ambient Intelligence. They hold the promise of delivering to a smart communication paradigm which enables setting up an intelligent network capable of handling applications that evolve from user requirements. Cognitive agents capable of making proactive decisions based on learning, reasoning and information sharing when interspersed in sensor networks, may help achieve end-to-end goals of the network even in the presence of multiple constraints and optimization objectives. Cognitive radio at the physical layer of such agents may enable the opportunistic use of the heterogeneous wireless environment. However, research efforts have been discrete and cognitive techniques have focused on improving specific aspects of the network or benefiting specific applications. The main contribution of this paper is providing the vision and advantage of a holistic approach to cognition in sensor networks, which can be achieved by incorporating learning and reasoning in the upper layers, and opportunistic spectrum access at the physical layer. Rather than providing an ostensive survey of cognitive architectures applicable to sensor networks, this paper provides the reader with a framework based on knowledge and cognition that can help achieve end-to-end goals of application-specific sensor networks.
  IEEE Sensors Journal 04/2011; · 1.52 Impact Factor
• Conference Proceeding: Cognitive approaches in Wireless Sensor Networks: A survey

  G. Vijay, E. Bdira, M. Ibnkahla
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  ABSTRACT: Wireless Sensor Networks are believed to be the enabling technology for Ambient Intelligence. They hold the promise of delivering to a smart communication paradigm where applications evolve from user requirements. Cognitive agents capable of making proactive decisions based on learning, reasoning and information sharing when interspersed in sensor networks may help achieve end-to-end goals of the network, even in the presence of multiple constraints and optimization objectives. Cognitive radio at the physical layer of such agents might be able to enable the opportunistic use of the heterogeneous environment in which the sensor network is deployed. A framework used in Cognitive Networks that can be applied to application-specific sensor networks is discussed. The main contribution of this paper is providing a comparative study of the different cognitive techniques applied to sensor network applications in recent times, (including one by the authors) and evaluating their effectiveness in achieving the network's end-to-end goals.
  Communications (QBSC), 2010 25th Biennial Symposium on; 06/2010