NS2 Model for Cognitive Radio Networks Routing

Lee, Pingnan; Wei, Gengyu

doi:10.1109/cnmt.2009.5374689

Cited by 11 publications

(5 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cognitive Radio Network Simulator (NS-2.31) [17] is used to implement proposed low rate (902 MHz) energy efficient CCC based AODV protocol and compare the routing metrics (energy per data packet, routing energy overhead, MAC energy overhead, end-to-end delay, and aggregate throughput) with existing 2.4 GHz CCC based AODV protocol, sequential and group CCC based AODV. This work is the extension of Multi channel routing protocol with the support of PU free TVWS(8 MHz) for data and 902 MHz unlicensed for control transmission.…”

Section: Simulation Resultsmentioning

confidence: 99%

Energy Efficient CCC based AODV Routing Protocol for Cognitive Radio Ad-Hoc Networks

Anamalamudi¹,

Liu²,

Jin³

2014

JCM

View full text Add to dashboard Cite

Spectrum mobility in Cognitive radio ad-hoc networks introduces additional energy consumption apart from joint channel-path selection. Application data transmission in CR routing is based on channel-route path selected from common control channel (CCC). Hence, CCC plays a pivotal role in selecting and managing energy efficient channel-routes in Cognitive radio ad-hoc networks. State-of-the-art CR routing protocols either use 2.4 GHz unlicensed dedicated CCC (global) or licensed PU free CCC (local) for channel-path selection which results in higher energy consumption due to longer channel hop-count and higher control channel switching delays. Several small slices of unlicensed frequencies (433 MHz/868 MHz/902-928 MHz) are existing in lower spectral bands which are not efficiently utilized. This paper proposes a low rate (902 MHz) energy efficient CCC based AODV protocol to broadcast route control messages which select energy efficient channelroute paths through minimizing hop count, link failures, routing overhead and end-to-end data transmission delay. Experimental results show that the performance of the proposed AODV protocol outperforms compared with existing CCC based CR-AODV routing protocols.  Index Terms-AODV, energy efficiency, power control, common control channel.

show abstract

Section: Simulation Resultsmentioning

confidence: 99%

Energy Efficient CCC based AODV Routing Protocol for Cognitive Radio Ad-Hoc Networks

Anamalamudi¹,

Liu²,

Jin³

2014

JCM

View full text Add to dashboard Cite

show abstract

“…This tool has also been developed for NS-2 and it provides PR activity analysis and routing based on this activity but multiple channel support is also missing in this work. The authors in [13] have proposed a routing layer model for CR based networks in NS-2.…”

Section: Wsns In Ns-2mentioning

confidence: 99%

“…Cr simulator [12] A discrete simulation model for CRAHNs OMNeT++ CRNRM [13] A routing model for CRNs NS-2 TFRC-CR [14] A transport layer protocol for CRNs NS-2…”

mentioning

confidence: 99%

NS-2 based simulation framework for cognitive radio sensor networks

2016

View full text Add to dashboard Cite

In this paper, we propose a simulation model for cognitive radio sensor networks (CRSNs) which is an attempt to combine the useful properties of wireless sensor networks and cognitive radio networks. The existing simulation models for cognitive radios cannot be extended for this purpose as they do not consider the strict energy constraint in wireless sensor networks. Our proposed model considers the limited energy available for wireless sensor nodes that constrain the spectrum sensing process -an unavoidable operation in cognitive radios. Our model has been thoroughly tested by per- The results generated by the model have been found accurate which can be considered for realization of CRSNs.Keywords Cognitive radio · dynamic spectrum access · wireless sensor networks · cognitive radio sensor networks · simulation model.

show abstract

“…The first approach has been to develop cognitive features over an existing WSN simulator. In [85], the authors propose a new model over NS2 for routing in cognitive networks. With this goal, changes to the NS2 architecture are explained, such as support for multiple channels.…”

Section: Cognitive Frameworkmentioning

confidence: 99%

“…In the past, some attempts to develop a CRSN simulator have been made [85]. However, the implemented changes in the simulator are not enough because only a few radio parameters can be changed.…”

Section: Cognitive Frameworkmentioning

confidence: 99%

Cognitive strategies for security in wireless sensor networks

Martínez¹

View full text Add to dashboard Cite

Wireless Sensor Networks (WSNs) are one of the fastest growing sectors in wireless networks. The fast introduction of these networks as a solution in many new applications has increased the traffic in the radio spectrum. Due to the operation of WSNs in the free industrial, scientific, and medical (ISM) bands, saturation has ocurred in these frequencies that will make the same operation methods impossible in the future. Cognitive radio (CR) has appeared as a solution for this problem.The networks that join all the mentioned features together are called cognitive wireless sensor networks (CWSNs). The adoption of cognitive features in WSNs allows the use of these networks in applications with higher reliability, coverage, or quality of service requirements. The improvement of the performance of CWSNs allows their use in critical applications where they could not be used before such as structural monitoring, medical care, military scenarios, or security monitoring systems. Nevertheless, these applications also need other features that cognitive radio does not add directly, such as security. The security in CWSNs has not yet been explored fully because it is not necessary field for the main performance of these networks. Instead, other fields like spectrum sensing or collaboration have been explored deeply. However, the study of security in CWSNs is essential for their growth.

show abstract

NS2 Model for Cognitive Radio Networks Routing

Cited by 11 publications

References 7 publications

Energy Efficient CCC based AODV Routing Protocol for Cognitive Radio Ad-Hoc Networks

Energy Efficient CCC based AODV Routing Protocol for Cognitive Radio Ad-Hoc Networks

NS-2 based simulation framework for cognitive radio sensor networks

Cognitive strategies for security in wireless sensor networks

Contact Info

Product

Resources

About