Genetic algorithm-based hybrid spectrum handoff strategy in cognitive radio-based internet of things

Liu Miao (), He Qing (), Zhuo-Miao Huo (), Zhen-Xing Sun () and Xu Di ()
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Liu Miao: Northeast Petroleum University-Qinhuangdao
He Qing: Northeast Petroleum University
Zhuo-Miao Huo: Northeast Petroleum University
Zhen-Xing Sun: Northeast Petroleum University-Qinhuangdao
Xu Di: Northeast Petroleum University

Telecommunication Systems: Modelling, Analysis, Design and Management, 2022, vol. 80, issue 2, No 4, 215-226

Abstract: Abstract In Cognitive radio-based Internet of Things (CR-IoT) systems, the return of the primary user (PU) causes the secondary user (SU) that is communicating to face the spectrum handoff problem. In the process of spectrum handoff, the user terminal cant get the idle channels in time because of the unknown channel usage state.To solve this problem, a hybrid spectrum handoff algorithm based on genetic algorithm is proposed. The algorithm considers the regularity of PU activities in space and time, defines the idle probability of channels from the perspective of week attributes and time periods, obtains the optimal time period length using genetic algorithm,generates a channel idle probability table, and provides the target channel sequence for SUs in combination with the proposed channel ordering scheme. Simulation results show that when the total number of SUs is within 10 $$\sim $$ ∼ 20, the proposed algorithm has a spectrum handoff outage probability of less than 7%, an average delivery time of less than 13s, a total packet error rate of less than 5.5%, a channel utilization of consistently above 70%, and an average detection times of less than 7 times.

Keywords: Cognitive radio-based Internet of Things; Genetic algorithm; Central cognitive device; Channel idle probability; Hybrid spectrum handoff (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11235-022-00895-1

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