CRAHNs中干扰和能耗有效的联合功率控制路由算法仿真研究

doi:10.16182/j.issn1004731x.joss.201707010

摘要/Abstract

摘要： 针对认知无线Ad Hoc网络(Cognitive Radio Ad Hoc Networks, CRAHNs)下垫式(Underlay)频谱接入模型,次用户节点对主用户干扰功率过高,以及次用户节点能量过早耗尽的问题,提出了基于粒子群优化算法的联合功率控制的路由与频谱分配算法PRSA,以最小化次用户对主用户的干扰功率与延长网络生存时间为目标,包括粒子编码与粒子初始化、适应度函数、粒子飞行。设计了包含信道与发射功率等级二元组的邻接矩阵粒子编码结构,以及重新定义了粒子的3种运算规则。仿真结果表明,PRSA能在最小化对主用户的干扰功率的同时,延长网络生存时间。

关键词: 认知无线Ad Hoc网络, 路由, 干扰, 能耗有效

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.

Key words: cognitive radio ad hoc networks, routing, interference, energy efficient

中图分类号:

TP393

邝祝芳, 陈志刚. CRAHNs中干扰和能耗有效的联合功率控制路由算法仿真研究[J]. 系统仿真学报, 2017, 29(7): 1464-1471.

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.

参考文献

[1] Akyildiz I F, Lee W Y, Chowdhury K R.CRAHNs: Cognitive radio ad hoc networks[J]. Ad Hoc Networks (S1570-8705), 2009, 7(5): 810-836.
[2] Azzedine B, Begumhan T, Aydin N, et al.Routing protocols in ad hoc networks: A survey[J]. Computer Networks (S1389-1286), 2011, 13(55): 3032-3080.
[3] Moustafa Y, Mohamed I, Mohamed A, et al.Routing Metrics of Cognitive Radio Networks: A Survey[J]. IEEE Communications Surveys & Tutorials (S1553-877X), 2014, 16(1): 92-109.
[4] Cacciapuoti A S, Caleffi M, Paura L.Reactive routing for mobile cognitive radio ad hoc networks[J]. Ad Hoc Networks (S1570-8705), 2012, 10(5): 803-815.
[5] Chowdhury K R, Akyildiz I F.CRP: A Routing Protocol for Cognitive Radio Ad Hoc Networks[J]. IEEE Journal of Selected Areas in Communications (S0733-8716), 2011, 29(4): 794-804.
[6] Lin S C, Chen K C.Spectrum Map Empowered Opportunistic Routing for Cognitive Radio Ad Hoc Networks[J]. IEEE Transactions on Vehicular Technology (S0018-9545), 2014, 63(6): 2848-2861.
[7] Huang J, Wang S, Cheng X, et al.Mobility-Assisted Routing in Intermittently Connected Mobile Cognitive Radio Networks[J]. IEEE Transactions on Parallel and Distributed Systems (S1045-9219), 2014, 25(11): 2956-2968.
[8] Qin Y, Zhong X X, Yang Y Y, et al.Joint channel assignment and opportunistic routing for maximizing throughput in cognitive radio networks[C]// 2014 IEEE Global Communications Conference (GLOBECOM). USA: IEEE, 2014: 4592-4597.
[9] Tang F, M Guo, Guo S, et al. Mobility Prediction Based Joint Stable Routing and Channel Assignment for Mobile Ad Hoc Cognitive Networks[J]. IEEE Transactions on Parallel and Distributed Systems (S1045-9219), 2016, 27(3): 789-802.
[10] Ping Shuyu, Aijaz Adnan, Holland Oliver, et al.SACRP: A Spectrum Aggregation-Based Cooperative Routing Protocol for CognitiveRadio Ad-Hoc Networks[J]. IEEE Transactions on Communications (S0090-6778), 2015, 63(6): 2015-2030.
[11] Ding Lei, MelodiaTommaso, Batalama Stella N, et al. Distributed resource allocation in cognitive and cooperative ad hoc networks throughjoint routing, relay selection and spectrum allocation[J]. Computer Networks (S1389-1286), 2015, 83(6): 315-331.
[12] Zhang Y, Song F, Deng Z, et al.An energy- aware routing for cognitive radio ad hoc networks[C]//2013International Conference on Information Science and Technology (ICIST), China. USA: IEEE, 2013: 1397-1401.
[13] Kamruzzaman S M, Kim E, Jeong D G, et al.Energy-aware routing protocol for cognitive radio ad hoc networks[J]. IET Communications (S1751-8628), 2012, 6(14): 2159-2168.
[14] Basak S, Acharya T.Joint Power Allocation and Routing in Outage Constrained Cognitive Radio Ad HocNetworks [J]. Mobile Networks and Applications (S1383-469X), 2015, Article in Press.
[15] Hou L, Yeung K H, Wong K Y.SEER: spectrum-and energy-efficient routing protocol for cognitive radio ad hocnetworks [J]. Wireless Networks (S1022-0038), 2015, Article in Press.
[16] Acharya T, Maity S P, Mandal S.Outage Minimized Joint Power and Channel Allocationin Multihop Cognitive Radio Networks: A Lifetime Centric Approach[J]. Wireless Personal Communications (S0929-6212), 2015, 83(4): 2519-2537.
[17] 邝祝芳, 陈志刚, 王国军, 等. 认知无线Mesh网络中满足QoS的高吞吐量安全路由协议[J]. 通信学报, 2014, 35(11): 69-80.
(Kuang Zhufang, Chen Zhigang, Wang Guojun, et al.A Secure and High Throughput Routing Protocol with QoS Constraints in Cognitive Wireless Mesh Networks[J]. Journal on Communications, 2014, 35(11): 69-80.
[18] Tedesco J W, Ross C A, Mcgill P B, et al.Numerical analysis of high strain rate concrete direct tension tests[J]. Computer and structure (S0045-7949), 1991, 40(2): 313-327.
[19] Tedesco J W, Ross C A, Brunair R M.Numerical analysis of dynamic split cylinder tests[J]. Computer and structure (S0045-7949), 1989, 32(3/4): 609-624.
[20] Cai M, Kaiser P K, Suorineni F, et al.A study on the dynamic behavior of the Meuse/Haute-Marne argillite[J]. Physics and Chemistry of the Earth (S1474-7065), 2007, 32(8/14): 907-916.
[21] Schuler H, Maythofer C, Thoma K.Spall experiments for the measurement of the tensile strength and fracture energy of concrete at high strain rate[J]. International Journal of Impact Engineering (S1025-2495), 2006, 32(10): 1636-1650.
[22] Gálvez Díaz-Rubio F, Rodríguez Pérez J, Sánchez Gálvez V. The spalling of long bars as a reliable method of measuring the dynamic tensile strength of ceramics[J]. International Journal of Impact Engineering (S1025-2495), 2002, 27(2): 161-177.
[23] Wu H J, Zhang Q M, Huang F L, et al.Experimental and numerical investigation on the dynamic tensile strength of concrete[J]. International Journal of Impact Engineering (S1025-2495), 2005, 32(1/4): 605-617.
[24] 刘智光. 混凝土破坏过程细观数值模拟与动态力学特性机理研究 [D]. 大连: 大连理工大学, 2012.
(Liu Z G.Research on fracture simulation and dynamic behavior of concrete [D]. Dalian, China: Dalian University of Technology, 2012.)
[25] Hao Y, Hao H, Li Z X.Influence of end friction confinement on impact tests of concrete material at high strain rate[J]. International Journal of Impact Engineering (S1025-2495), 2013, 60(60): 82-106.