Developing an agent-based simulation model for experimenting a cognitive radio network
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Date
2019-06
Authors
Nurnabilah Binti Roshan Khan
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Abstract
Modern communication networks are getting more advance and complex as there are demand from people to transmit and receive information easily and quickly. Complex system become new field for researchers to explore how aspects of a system give rise to the collective behaviours of the system and how the system interacts with the environment. As wireless network usage increase it causes the spectrum be saturated and led to spectrum scarcity. Therefore, cognitive radio network is important to solve the problem as the spectrum inefficiency occurs. Several methodologies have been introduced to achieve the goal of developing agent based simulation model and identification of unused spectrum through cognitive radio network. An improved methodology is proposed to complement the spectrum optimization by applying the method of spectrum sensing, spectrum mobility, spectrum decision and spectrum sharing. The Netlogo software was used to simulate and experiment cognitive radio network. Multiple simulation have been carried out to collect the data of the spectrum optimization and time of spectrum sharing using different approaches. The total average of most efficient spectrum optimization is 89.3% and time of spectrum sharing is 172.3s when the number of nodes is 20 and the average node degree is 19 while the least efficient case is when the number of nodes is 100 and average node degree is 5 it only results 15% of spectrum optimization 200.3s of spectrum sharing time.