Transport capacity of cooperative cognitive radio ad hoc networks

Gao, Jing; Zhang, Yinghui; Liu, Yang

doi:10.1016/j.phycom.2017.01.001

Cited by 2 publications

(1 citation statement)

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“…But the proposed method didn't meet the optimum level of energy consumption. Transport capacity of cooperative CRAHN was analyzed and a half-slotted ALOHA multiple access protocols [7] was proposed to show the increase in primary coverage radius, but the results showed that it consumed more energy which cannot be accepted. Cognitive radio routing protocol [8] was proposed to reduce the routing problems that arise in CRAHN, but the solutions provided for routing problems results in finding the lengthier route which consume more delay and energy.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance Modeling of Bio-Inspired Routing Protocols in Cognitive Radio Ad Hoc Network to Reduce End-to-End Delay

Jaganathan¹,

Vadivel²

2019

IJIES

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The rapid advancement of Cognitive Radio Ad Hoc Network (CRAHN) has created a demand for effectively utilizing the spectrum without affecting the environment. End-to-end delay in CRAHN affects the performance in numerous ways. The major task of routing protocols is to transfer the data to the destination in a shorter duration by utilizing low energy. Congestion in the network leads a way to end-to-end delay and exhaustive energy consumption, but optimization can be used to control it. This research work aims to propose a bio-inspired routing protocol inspired from characteristics from wolves to reduce the overall end-to-end delay which results in reducing the consumption of energy and extends the lifetime of the network. This research work utilizes M/G/1 queueing model to avoid network congestion, where the requests from nodes are markovian and service times regarding the requests have general distribution time. With benchmark performance metrics NS2 simulations are carried out to check the performance of the proposed protocols. Results conclude that the proposed protocol significantly outperforms than other protocols with better packet delivery ratio, reduced end-to-end latency and energy consumption.CRAHNs are autonomous networks enabled with CR technology, where it does not need the support of base stations or any other infrastructure based support [3]. Devices used in CRAHN are based on the battery that they hold. The present technologies used in the battery will make it work for a long period of time with the tolerable energy, even when it is charged for a shorter duration. One of the very important issues of CRAHN is the conservation of energy because the batteries hold the limited capacity of energy. The nodes of CRAHN get dead when the battery life gets complete. The two things that determine the duration of nodes are conservation of energy and battery life.There exist two kinds of users in CRAHN, which are Primary User (PU) and Secondary User (SU). PU's are authorized to access the network at an associate degree level because they hold the license. Normally these users are given the maximum preference to use the spectrum and are liable to assured quality-of-service (QoS). SU's are authorized to access the network but not in an associate degree level as like the PU. Preferences are not given much to these users and QoS are also not maintained as like PU. Primitive concept of CR network is to move out the SU (which don't have any license) from the network when PU (which has a license) is spotted [3]. The opportunity of using the CRAHN is unstable for the SU with time and location, due to the importance is given to PU. In this manner, routing of data packets in CRAHNs requires cooperation between its module and functionality of spectrum management for continuous aware of the physical environment to make more accurate decisions [4,5]. Exhaustive usage of spectrum by PU will give way for routing problem in CRAHNs. For this reason, it's always necessary to design a routing protocol that will effectively alloca...

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Section: Literature Reviewmentioning

confidence: 99%