SPECTRUM SENSING ALGORITHMS FOR COGNITIVE RADIO-BASED DISASTER RESPONSE NETWORKS, POTENTIALS AND CHALLENGES
Spectrum utilization has remained an issue in the era of telecommunication due to the exponential and rapid growth in spectrum based mobile telecommunication technologies and advancements resulting in a huge demand on spectrum while spectrum utilization is restricted and under-utilized, the arrival of Cognitive Radio CR technology could make an important break-through towards resolving this issue, its functionality enables it to resolve the problem of spectrum shortage by enabling dynamic spectrum access feature, the issue of spectrum under-utilization is made more complicated in constrained networks such as public-safety, emergency and disaster response networks, where the need for deploying a reliable communication system is extremely high, these systems require sophisticated techniques to explore and utilize the available under-utilized frequency bands and enable the systems to dynamically access the spectrum, in this paper, we summarize existing recent advancements in spectrum sensing since inception to its current state, we also highlight the capabilities and drawbacks of narrowband and wideband SS techniques along with challenges and future research directions involved in their implementation.
Cognitive radio, disaster response networks, Spectrum Sensing