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Sensor Node Selection-Based Lifetime Maximization in Sensor Network Assisted Cognitive Radio Networks
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DOI：10.1166/asl.2016.7817.png)
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Abstract
En 中文
Cognitive radio network (CRN) has emerged as promising solution to spectrum scarcity and spectrum under utilization. CRN performs spectrum sensing (SS) of the radio environment continuously in order to utilize the licensed spectrum of primary user (PU) in an opportunistic manner. SS is one of the most censorious constituent of the cognitive radio network to identify the presence or absence of PU in order to avoid harmful interference to the licensed communication. In conventional CRN, SS is first performed and then cognitive or secondary user (SU) is allowed to transmit. On the other hand, a dedicated sensor network providing SS service to CRN, eliminates sensing overhead from SUs frame, which results in increased time for sensing and transmission. Subsequently, increased sensing time by deploying a dedicated sensor network can reduce probability of false alarm and further can help in achieving a targeted probability of detection and probability of false alarm. However, performing SS for long duration is a crucial problem in battery-limited sensor network. Thus, in the paper, we propose an algorithm to increase the lifetime of the sensing network by choosing the clusters, which are composed of disjoint subsets of sensor nodes while the required probabilities of detection and false alarm are being satisfied. Simulation results show that the proposed scheme can give improvements in enhancing the survivability duration of SS cycles.
Keywords:
Cognitive Radio Network
Sensor Network
Co-Operative Spectrum Sensing
Energy Efficiency
Network Life Time