Packet Multicast in Cognitive Radio Ad Hoc Networks: A Method Based on Random Network Coding

Chen, Bingcai; Gao, Zhenguo; Yang, Miaomiao; Ning, Qian; Yu, Chao; Pan, Weimin; Nian, Mei; Xie, Da

doi:10.1109/access.2018.2805762

Cited by 15 publications

(4 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors of [ 8 ] have also used network coding for multicasting in CRNs with the goal of minimizing total transmission cost (amount of transmitted data) while taking into account both channel uncertainty and node mobility. A random network coding-based multicasting strategy is presented in [ 9 ], and the aim was again to reduce the total number of transmissions (amount of data).…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Multicast Communication in Cognitive Radio Wireless Mesh Network

Baig

Hasan

Valsalan

et al. 2022

Sensors

View full text Add to dashboard Cite

Multicasting is a basic networking primitive used in a wide variety of applications that is also true for cognitive radio-based networks. Although cognitive radio technology is considered to be the most promising technology to deal with spectrum scarcity, it relates to completely different aspects of networking and presents new challenges. For cognitive radio-based multicast sessions, it is important to use the spectrum efficiently by reducing the number of channels used as well as engaging fewer nodes in data relaying. This will benefit the network in three ways. First, it will decrease the number of transmissions. Second, it will help to reduce energy usage. Third, it will spare more channels and relay nodes for simultaneous multicast sessions. To achieve these advantages, efficient channel selection and relay nodes are required based on hop-to-hop communication. In this paper an algorithm has been developed that attempts to minimize energy consumption by selecting the minimum possible number of relay nodes and channels for a multicast session, taking into account the sporadic availability of the spectrum. The proposed method performs effectively compared to the flooding method in terms of energy consumption for the provided examples in multicasting.

show abstract

Section: Related Workmentioning

confidence: 99%

Energy Efficient Multicast Communication in Cognitive Radio Wireless Mesh Network

Baig

Hasan

Valsalan

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…This tends to various transmission rates for different channels. 3 Poor attention has been gained for multicast in CR networks. When the dynamic ingestion for the multicast trees in CR systems is estimated, we ought to take into consideration the energy consumed for detecting the accessibility of the network as well as the energy utilized for broadcasting.…”

Section: Introductionmentioning

confidence: 99%

“…Due to the influence of the relative position between the sending and receiving nodes, environment and other factors, communication quality may vary across channels that can be accessed. This tends to various transmission rates for different channels 3 …”

Section: Introductionmentioning

confidence: 99%

Optimal relay and channel selection schemes for multiconstrained QoS multicast routing in cognitive radio ad hoc networks

Indumathi

Vaithianathan

2021

Int J Communication

View full text Add to dashboard Cite

Summary During multicasting in cognitive radio ad hoc network (CRAHN), apart from energy consumption, interchannel interference, path delay, and channel switching delay should be minimized. The channel selection should be done, based on spectrum opportunities and channel quality. Hence, the multicast routing problem becomes a multiconstrained QoS routing problem. This paper proposes optimal relay and channel selection schemes (ORCS) for multiconstrained QoS multicast routing in CRAHNs. For multicast tree construction, distributed minimum spanning tree (DMST) is used. For meeting the delay, energy, and interference constraints, relay nodes are chosen with minimum path delay, less energy consumption, and minimum interference. For effective channel assignment, channels with good channel quality, maximum spectrum accessibility, and sufficient common slots are selected. By simulation results, it has been shown that the proposed ORCS minimize the energy consumption and end‐to‐end delay.

show abstract

“…Even though the PU operation has a significant impact on SU processing time, implementing the technology of network coding with a CRN will considerably enhance the spectrum usage by minimizing SU transmission times. In the case of CR Adhoc networks, the technique which is based on random network coding (RNC) is suggested in Chen et al (2018). With the help of maximum packet response gain of SUs, the transmission of packets can be extensively reduced.…”

Section: Introductionmentioning

confidence: 99%

Hybrid filter detection network model for secondary user transmission in cognitive radio networks

Saradhi

Katragadda

Valiveti³

2021

IJIUS

View full text Add to dashboard Cite

PurposeA huge variety of devices accumulates as well distributes a large quantity of data either with the help of wired networks or wireless networks to implement a wide variety of application scenarios. The spectrum resources on the other hand become extremely unavailable with the development of communication devices and thereby making it difficult to transmit data on time.Design/methodology/approachThe spectrum resources on the other hand become extremely unavailable with the development of communication devices and thereby making it difficult to transmit data on time. Therefore, the technology of cognitive radio (CR) is considered as one of the efficient solutions for addressing the drawbacks of spectrum distribution whereas the secondary user (SU) performance is significantly influenced by the spatiotemporal instability of spectrum.FindingsAs a result, the technique of the hybrid filter detection network model (HFDNM) is suggested in this research work under various SU relationships in the networks of CR. Furthermore, a technique of hybrid filter detection was recommended in this work to enhance the performance of idle spectrum applications. When compared to other existing techniques, the suggested research work achieves enhanced efficiency with respect to both throughputs as well as delay.Originality/valueThe proposed HFDNM improved the transmission delay at 3 SUs with 0.004 s/message and 0.008 s/message when compared with existing NCNC and NNC methods in case of number of SUs and also improved 0.02 s/message and 0.08 s/message when compared with the existing methods of NCNC and NNC in case of channel loss probability at 0.3.

show abstract

Packet Multicast in Cognitive Radio Ad Hoc Networks: A Method Based on Random Network Coding

Cited by 15 publications

References 23 publications

Energy Efficient Multicast Communication in Cognitive Radio Wireless Mesh Network

Energy Efficient Multicast Communication in Cognitive Radio Wireless Mesh Network

Optimal relay and channel selection schemes for multiconstrained QoS multicast routing in cognitive radio ad hoc networks

Hybrid filter detection network model for secondary user transmission in cognitive radio networks

Contact Info

Product

Resources

About