CRAHNs: Cognitive radio ad hoc networks

By Ian F. Akyildiz, Won-Yeol Lee, Kaushik R. Chowdhury. Ad hoc networks, 2009

1,296 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/7867cb1d5911624474d0b335bf2b422da2dd95ca

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Routing in cognitive radio networks: Challenges and solutions (2011, background): “SDRs allow the development of spectrum-agile devices that can be programmed to operate on a wide spectrum range and tuned to any frequency band in that range with limited delay [2,3].”
Cognitive radio networking and communications: an overview (2011, background): “This classification is interesting from the operational and implementation perspective of CR MACs.”
Routing Metrics of Cognitive Radio Networks: A Survey (2014, background): “Most of the work in CRNs has focused on the lower layers of the protocol stack, mainly at the physical and MAC layers [3], [4] with single-hop forwarding.”
Towards software-defined VANET: Architecture and services (2014, background): “• Frequency/Channel selection: When a SDN wireless node has multiple available wireless interfaces or configurable radios such as cognitive radios [15, 16], a SDN-based VANET can allow better coordination of channel/frequency used.”
Application of reinforcement learning to routing in distributed wireless networks: a review (2013, background): “Examples of distributed wireless networks are Wireless Sensor Networks (WSNs) (Akyildiz et al. 2002), wireless ad hoc networks (Toh 2001), cognitive radio networks (Akyildiz et al. 2009), and delay tolerant networks (Burleigh et al. 2003).”
Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A Comprehensive Survey (2021, background): “[120]–[123] Studied false-report attack in decentralized cooperative spectrum sensing networks.”
Spectrum Decision in Cognitive Radio Networks: A Survey (2013, background): “In order to address spectrum selection in multi-hop CRNs, a joint spectrum and route selection design approach is preferred [15], [16], [35], [67]–[71].”
Cooperative spectrum sensing in cognitive radio networks: A survey (2011, background): “Typically, local sensing for primary signal detection can be formulated as a binary hypothesis problem as follows [2] where x(t) denotes the received signal at the CR user, s(t) is the transmitted PU signal, h(t) is the channel gain of the sensing channel, n(t) is the zero-mean additive white…”