Cognition in Wireless Sensor Networks: A Perspective
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.
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ABSTRACT: The deployment of wireless sensor networks for healthcare applications have been motivated and driven by the increasing demand for real-time monitoring of patients in hospital and large disaster response environments. A major challenge in developing such sensor networks is the need for coordinating a large number of randomly deployed sensor nodes. In this study, we propose a multi-parametric clustering scheme designed to aid in the coordination of sensor nodes within cognitive wireless sensor networks. In the proposed scheme, sensor nodes are clustered together based on similar network behaviour across multiple network parameters, such as channel availability, interference characteristics, and topological characteristics, followed by mechanisms for forming, joining and switching clusters. Extensive performance evaluation is conducted to study the impact on important factors such as clustering overhead, cluster joining estimation error, interference probability, as well as probability of reclustering. Results show that the proposed clustering scheme can be an excellent candidate for use in large scale cognitive wireless sensor network deployments with high dynamics.PLoS ONE 01/2013; 8(2):e53434. · 3.73 Impact Factor
Conference Proceeding: ISM bands spectrum sensing based on Versatile Sensor Node platform[show abstract] [hide abstract]
ABSTRACT: The increased utilization of wireless technologies operating in the ISM frequency bands causes cross-interference and performance degradation. A preliminary step to achieve coexistence and spectrum sharing among the ISM band technologies, supporting the idea of cognitive radio networks, is to obtain knowledge of the wireless medium utilization by making use of spectrum sensing. For this purpose we developed a low-cost spectrum sensing device for Industrial, Scientific and Medical (ISM) bands, based on the Versatile Sensor Node platform with dual frequency agile radio modules. In the paper we describe spectrum sensing based on the Received Signal Strength Indicator (RSSI), show spectrum sensing measurements results for the 868 MHz ISM band and pay special attention to use cases of such frequency spectrum sensing devices.Applied Sciences in Biomedical and Communication Technologies (ISABEL), 2010 3rd International Symposium on; 12/2010
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ABSTRACT: A cognitive radio wireless sensor network is one of the candidate areas where cognitive techniques can be used for opportunistic spectrum access. Research in this area is still in its infancy, but it is progressing rapidly. The aim of this study is to classify the existing literature of this fast emerging application area of cognitive radio wireless sensor networks, highlight the key research that has already been undertaken, and indicate open problems. This paper describes the advantages of cognitive radio wireless sensor networks, the difference between ad hoc cognitive radio networks, wireless sensor networks, and cognitive radio wireless sensor networks, potential application areas of cognitive radio wireless sensor networks, challenges and research trend in cognitive radio wireless sensor networks. The sensing schemes suited for cognitive radio wireless sensor networks scenarios are discussed with an emphasis on cooperation and spectrum access methods that ensure the availability of the required QoS. Finally, this paper lists several open research challenges aimed at drawing the attention of the readers toward the important issues that need to be addressed before the vision of completely autonomous cognitive radio wireless sensor networks can be realized.Sensors 01/2013; 13(9):11196-228. · 1.95 Impact Factor