Energy-Efficient, Learning-Inspired Channel Decision and Access Technique for Cognitive Radio-based Wireless Sensor Networks

Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: Mobility
Format: PDF
Cognitive radio-based wireless sensor network is the next-generation sensor network paradigm. Important to this emerging sensor network is the need to reduce energy consumption, paving way for 'Green' communication among sensor nodes. Therefore, in this paper, the authors have proposed an energy-efficient, learning-inspired, adaptive and dynamic channel decision and access technique for cognitive radio-based wireless sensor networks. Using intelligent learning technique based on the previous experience, the cognitive radio-based wireless sensor network agent decides which available channel to access based on the energy-efficiency achievable by transmitting using the channel.

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