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.
- SourceAvailable from: Joel RodriguesPervasive and Mobile Computing 01/2015; · 1.67 Impact Factor
Conference Paper: 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: Wireless Sensor Networks (WSNs) utilize huge amount of wireless sensor nodes to gather information from their sensing terrain. The gathered information will undergo in-network process and send to the remote sink. In this densely distributed network high packet flow occur near the sink due to the convergent nature of upstream traffic. Congestion may occur in the network and cause packet loss. Due to this packet loss the throughput may be lowered and also, congestion leads to excessive energy consumption. Therefore congestion has to be controlled to prolong the sensor nodes lifetime, in terms of throughput. This paper proposes an agent based upstream congestion control protocol named, Agent-based Congestion Control Protocol (ACCP) for wireless sensor networks. The rate traffic analysis on each node is based on the priority index and the congestion degree of the node. In addition, we comprehensively evaluated the performance of congestion control with multi agent platforms as technology choices and investigated its throughput and latency in three different scenarios.