Vulnerability and protection for distributed consensus-based spectrum sensing in cognitive radio networks. Probabilistic reasoning in intelligent systems: Networks of plausible inference. Readings in uncertain reasoning. Sensor fusion using Dempster-Shafer theory. Reasoning about uncertainty. Robust distributed spectrum sensing in cognitive radio networks. Secure collaborative sensing for crowdsourcing spectrum data in white space networks. Catch me if you can: an abnomility detection approach for collaborative spectrum sensing in cognitive radio networks.
Malicious user detection in a cognitive radio cooperative sensing system. Catch it: Detect malicious nodes in collaborative spectrum sensing. Attacks against OLSR: distributed key management for security. Ariadne: a secure on-demand routing protocol for ad hoc networks.
Information theoretic framework of trust modeling and evaluation for ad hoc networks. Building a trust-aware dynamic routing solution for wireless sensor networks. Light-weight trust-based routing protocol for mobile ad-hoc networks. Distributed combined authentication and intrusion detection with data fusion in high security mobile ad-hoc networks. Distributed consensus-based sybil nodes detection in vanets. A cooperative spectrum sensing scheme for cognitive radio ad hoc networks based on gossip and trust.
Performance analysis of the confidant protocol. Trusted collaborative spectrum sensing for mobile cognitive radio networks. Malicious node detection on vehicular ad-hoc network using dempster shafer theory for denial of services attack. Dempster-shafer evidence theory based trust management strategy against cooperative black hole attacks and gray hole attacks in manets. Distributed combined authentication and intrusion detection with data fusion in high-security mobile ad hoc networks.
Cognitive radio network architecture: part II - trusted network layer structure. Cognitive radio mobile ad hoc networks. Collaborative spectrum sensing for opportunistic access in fading environments. Sensing-throughput tradeoff for cognitive radio networks. Toward secure distributed spectrum sensing in cognitive radio networks.
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A survey on trust management for mobile ad hoc networks. A survey on trust and reputation management systems in wireless communications.
Cognitive Radio Mobile Ad Hoc Networks
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Distributed consensus-based security mechanisms in cognitive radio mobile ad hoc networks.
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Explore the DeepDyve Library Search or browse the journals available. All the latest content is available, no embargo periods. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue. However, above all, the routing protocol should be as simple as possible to conserve energy. The works referred to in this paper fail to pay attention to this issue, except AiSorp and anti-intermittence routing, both of which increase the routing lifetime, and local coordination-based routing that focuses on load balancing.
Energy Efficient Resource Allocation in Cognitive Radio Wireless Ad Hoc Networks
However, local coordination-based routing requires additional control packet exchanges for its workload evaluation, while it does not study the energy consumption of doing so. Nevertheless, for all referred works, since the routing protocols are on-demand based, they support simple energy conservation by setting up the route only when it is needed. To preserve network lifetime, analyzing the energy consumption of additional tasks given to the nodes by the routing protocol is encouraged. The nodes have to perform extra task to attach the spectrum-related information as well as to send longer packets.
Those additional activities are energy consuming. Therefore, node-burdening tasks should be avoided if the performance is not fairly improved. The basic categories of services are bandwidth, latency, jitter, and packet loss [ 34 ]. The applications might only need one of the services or a combination of them. However, in the referred works, we could not find any routing protocol with QoS support. Even though providing QoS requires additional computation, it is advantageous for SUs, especially when there are various kinds of application traffic with different service requests.
By defining QoS, spectrum management becomes more efficient. For example, given a set of available spectrum band, there are two kinds of applications run by a SU: data transfer and voice communication. The routing protocol with QoS support could recognize the application service demands and would choose the path with the lowest loss for data transfer, lowest end-to-end delay, and lowest jitter for voice communication. Without QoS support, the routing protocol would assign the path and spectrum based solely on its routing metric and might fail to satisfy the application requirements.
This survey paper presents a number of on-demand routing protocols for cognitive radio ad hoc networks. It turns out that routing protocols that modify AODV are the most popular ones. One of the reasons is because DSR route discovery may lead to unpredictable packet length, which is not suitable for intermittent connectivity environment of cognitive radio networks.
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Looking at existing works and discussions on routing protocol design for CRAHNs, an appropriate routing protocol could be derived. Firstly, we recommend an adaptation of on-demand routing since its performance has been proven to suit mobile ad hoc networks, and it has the preferred properties suitable for CRAHNs. Then, a novel routing metric should be defined to include spectrum-related information in the routing mechanisms. In this way, the path selection consists of not only the selected path but also of the assigned spectrum. One promising candidate is a metric that is based on interference level with PUs since it guarantees PU avoidance.
The routing protocol should consider the network resource consumption by examining both the necessity of multiple paths and the addition of control packet exchanges. Moreover, the routing protocol should be aware of network heterogeneity by considering the reconfigurability of SUs as one of the routing options. To preserve energy, the routing protocol should be as simple yet effective as possible.
cognitive radio ad hoc networks
The trade-off between energy consumption and additional node tasks should be evaluated, especially when the extra tasks are oriented to a single objective and not overall network performance improvement. Finally, the routing protocol should consider QoS support, which would be beneficial to SUs. Networks , 50 13 Ad Hoc Networks , 7: IEEE Comm. Mag , 48 9 Ad Hoc Networks , 9 3 Perkins C, Royer E: Ad-hoc on-demand distance vector routing.
New Orleans; 25—26 February In Mobile Computing. Edited by: Imielinski T, Korth H.
Kluwer, Netherlands; Trivandrum; 28—29 December London: Springer; Wang Q, Zheng H: Route and spectrum selection in dynamic spectrum networks. Las Vegas; 8—10 January Dublin; 17—20 April Glasgow; 24—28 June Shanghai; 14—15 May Singapore; 15—17 May Abbagnale A, Cuomo F: Gymkhana: a connectivity-based routing scheme for cognitive radio ad hoc networks.
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New York: Springer; Weiss W: QoS with differentiated services. Bell Labs Technical Journal , 3 4 Download references. The authors wish to thank the editor and anonymous reviewers for their helpful comments on this paper.
This work was supported in part by the research fund from Chosun University, Correspondence to Sangman Moh. Reprints and Permissions. Salim, S. On-demand routing protocols for cognitive radio ad hoc networks. J Wireless Com Network , doi Download citation. Search all SpringerOpen articles Search. Review Introduction Cognitive radios enable an adaptive approach in utilizing existing wireless spectrum. Figure 1. Full size image. Figure 2.