• Prachi Rajendra Salve
• Madhavi Patil

Cognitive radio network (CRN) introduces the idea of sharing spectrum among primary and secondary users. Dynamic spectrum access is core technology for CRN; in which it is possible for utilizing unoccupied spectrum resources which were sensed by cognitive radios without hindering primary users. Unlike commercial network, each secondary radio node in military network is allocated with unfair spectrum resources depending on its priority. This article elucidates cooperative dynamic spectrum allocation that depending on needs and priorities of user, each secondary member utilizing network may allocate resources of spectrum. The evolutionary algorithm, especially particle swarm optimization (PSO), was explored and implemented to spectrum allocation such that by considering the tactical data, a secondary member could be able to learn and adapt to spectrum access, optimizing overall reward under constraints of spectrum resource limitation, quality of services (QoS) and limitation of system. The experiment infers that priority-based evolutionary algorithm yields better outcome over fair-based evolutionary and random allocation algorithm.

"An adaptive routing algorithm for cognitive radio-based wireless sensor networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.354-363, February-2019, Available :http://www.jetir.org/papers/JETIR1902A54.pdf

"An adaptive routing algorithm for cognitive radio-based wireless sensor networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp354-363, February-2019, Available at : http://www.jetir.org/papers/JETIR1902A54.pdf