ASPD: Adaptive Sensing Period Decision for Time-Varying Channel in Military MANETs

Spectrum sensing enables mobile wireless devices to find spectrum holes and thus secure spectrum resources in cognitive radio networks (CRNs). In this paper, we propose an adaptive sensing period decision scheme, shortly ASPD, which adjusts sensing periods adaptively by considering dynamics of channel conditions in CR-based military MANETs. Reflecting the channel dynamics, we analyze possible strategies of sensing period decisions associated with ASPD. It is shown that the linearly-increase and constant-value-decrease (LICV) strategy outperforms other ones in terms of sensing overhead, normalized throughput, the number of trials to transmit data, and the degree of interferences to PUs.