Simulation of Joint Power Control Routing Algorithm for Interference and Energy Consumption in CRAHNs

Authors

Zhufang Kuang, 1. School of Computer and Information Engineering, Central South University of Forestry & Technology, Changsha 410004, China;;2. School of Software, Central South University, Changsha 410083, China;
Zhigang Chen, 2. School of Software, Central South University, Changsha 410083, China;

Abstract

Abstract: Problems of interference power to primary user by secondary userand the secondary user's running out of energy under underlay spectrum access model in cognitive radio ad hoc networks (CRAHNs) were investigated. Joint power control, routing and spectrum (channel) allocation algorithm (PRSA) based on particle swarm optimization were proposed. The goal of PRSA was to minimize interference power to primary user and prolong lifetime of CRAHNs. Particle encoding, particle initialization, fitness function, particle flight were included in PRSA. An Adjacency matrix with two-tuples containing allocated channel and power level was designed, and three operation rules for particle were redefined. Simulation results show that PRSA can achieve the expected goal, minimize the interference power to primary user, and prolong the network lifetime.

Recommended Citation

Kuang, Zhufang and Chen, Zhigang (2020) "Simulation of Joint Power Control Routing Algorithm for Interference and Energy Consumption in CRAHNs," Journal of System Simulation: Vol. 29: Iss. 7, Article 10.
DOI: 10.16182/j.issn1004731x.joss.201707010
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss7/10

First Page

1464

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201707010

Last Page

1471

CLC

TP393

Recommended Citation

Kuang Zhufang, Chen Zhigang. Simulation of Joint Power Control Routing Algorithm for Interference and Energy Consumption in CRAHNs[J]. Journal of System Simulation, 2017, 29(7): 1464-1471.

DOI

10.16182/j.issn1004731x.joss.201707010