Abstract
We study jamming attacks in the physical layer of multihop cognitive radio networks (MHCRNs) where energy-constrained relays forward information from the source to the destination. Meanwhile, a jammer can transmit interfering signals on a channel such that all ongoing transmissions on this channel will be corrupted. In this paper, all jammers can attack only one of the predefined channels in each time slot. Moreover, they can randomly switch channels to start jamming another channel at the beginning of every time slot. The switching behavior is assumed to follow a Gaussian distribution. Due to limited battery capacity in the relays, energy harvesting is utilized to solve the energy-constrained problem in the cognitive radio network. Subsequently, relays are able to harvest energy from non-radio frequency (non-RF) signals such as solar, wind, or temperature. In this paper, we determine the throughput/delay ratio as a key metric to evaluate the performance in MHCRNs. Owing to the limited battery capacity in the relays and the jamming problem, the source needs to select proper relays and channels for each data transmission frame to optimize overall network performance in terms of end-to-end delay, throughput, and energy efficiency. Therefore, we provide two novel multihop allocation schemes to maximize achievable end-to-end throughput while minimizing delay in the presence of jammers. Through simulation results, we validate the effectiveness of the proposed schemes under multiple jamming attacks in MHCRNs.
Highlights
The cognitive radio network (CRN) has become a key solution for inefficient spectrum utilization due to its dynamic spectrum sharing
In the route selection process, we focus on selecting the best route, which has the assigned channel obtained from the channel allocation process, for each data frame transmission to optimize the multihop cognitive radio network performance
We propose two estimation schemes to enhance the quality of the multihop cognitive radio network in which both end-to-end throughput and delay are considered with the number of considered data frames
Summary
The cognitive radio network (CRN) has become a key solution for inefficient spectrum utilization due to its dynamic spectrum sharing. By periodically sensing and adapting to the environment, secondary users (SUs) can utilize spectrum bands that are not currently used by PUs [5, 6] This is considered an overlay approach in CRN. Xu et al [23] investigated the end-to-end throughput maximization problem in a multihop energy-harvesting cognitive radio network, and their simulation results verified the superiority of a joint optimal time and power allocation algorithm, compared to other solutions, through different scenarios. We investigate spectrum allocation for multihop and multichannel transmissions of energy-harvesting CRNs in the presence of jamming attacks. By estimating the considered quality of service (QoS) (e.g., end-to-end throughput, delay time) through a number of considered data frames, the source can select the best channels and relays to optimize the network performance (with high QoS) in the presence of jamming attacks.
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