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Cognitive Radio Enabled Wireless Sensor Networks and Survivability Challenges
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The rapid growth in computation, smart networking, spectrum agile devices, and hardware miniaturization technologies has led to a major revolution in the wireless sensor networking landscape in recent times. In particular, the introduction of wireless sensor nodes (WSNs) with cognitionenabled technologies and dynamic spectrum access capabilities can help improve spectrum utilization and optimize the dynamic bandwidth and quality-of-service (QoS) requirements of application-specific wireless sensor nodes. Cognition-enabled WSNs require research from multidisciplinary fields including understanding physical systems’ operation; how systems can be networked in a cognitive and wireless manner; and how they can learn and cooperate with one another. Automated and intelligent management is one of the most critical components in making the next generation smart WSNs more efficient, flexible, resilient, and customizable. Remote monitoring of devices by smart control centers, introduction of smart self-configuration technologies for improvement of WSN performance, and smart coordination of devices are just a few to name that are highly important topics and are therefore attracting significant interest from both academia and industry. There has also been recently a surge in research related to the Internet of Things (IoT) and, more broadly, the integration of sensor networks over emerging wireless technologies. In this respect, the unique combination of the promising wireless paradigm of cognitive radio networks and the use of sensor networks and IoT technologies have opened up new avenues for research and commercialization of such new technologies. The broad diversity of skills required makes this both a challenging and an exciting field of study.
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