基于信任机制的最短路径TAODV路由协议仿真分析

doi:10.16180/j.cnki.issn1007-7820.2023.10.011

Abstract

Abstract:

In order to compensate for the shortcomings in the security of the AODV(Ad Hoc on Demand Distance Vector) routing protocol while obtaining the shortest paths based on this optimized protocol, a study of a TAODV(Trusted Ad Hoc on Demand Distance Vector Routing Algorithm)routing protocol that improves on the original AODV routing protocol is proposed using the trust mechanism model approach. This protocol performs the relevant operations based on the trust values of each node to determine the path trust values during the operation of the routing protocol. The simulation results show that the improved TAODV routing protocol outperforms the traditional AODV routing protocol in terms of normalized routing overhead, minimum hop count and optimal path, and enhances the robustness and destructiveness of the network.

Key words: routing protocol, trust value, mechanism, safety, shortest path, hop count, routing messages, threshold

CLC Number:

TP391.9

ZHU Ying,ZHU Jinrong,SHI Zhuangzhuang,XU Siyun,XIA Changquan. Simulation Analysis of the Shortest Path TAODV Routing Protocol Based on Trust Mechanism[J].Electronic Science and Technology, 2023, 36(10): 82-86.

Figures/Tables 7

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

Figure 7.

References 18

[1]	王世锋. 基于AODV协议的Ad Hoc网络路由安全设计与实现研究[D]. 长沙: 国防科学技术大学, 2010:40-46.
	Wang Shifeng. Research on routing security design and implementation based on AODV protocol of WMANET[D]. Changsha: National University of Defense Technology, 2010:40-46.
[2]	霍晓珍. Ad Hoc网络中基于信任的安全路由研究[D]. 北京: 北京工业大学, 2014:18-20.
	Huo Xiaozhen. Research on trust-based secure routing protocol in Ad Hoc networks[D]. Beijing: Beijing University of Technology, 2014:18-20.
[3]	李群. 基于信任机制的安全路由协议TAODV的设计[J]. 科学技术与工程, 2013, 13(4):1053-1056.
	Li Qun. The design for a security routing protocol TAODV based on the availability trust mechanism[J]. Science Technology and Engineering, 2013, 13(4):1053-1056.
[4]	张强. 基于信任机制的分簇MANET关键技术研究[D]. 长沙: 国防科学技术大学, 2010:30-34.
	Zhang Qiang. Key technology research of clustered MANETs based on trust mechanism[D]. Changsha: National University of Defense Technology, 2010:30-34.
[5]	Beth T, Borcherding M, Klein B. Valuation of trust in open network[C]. Brighton: Proceedings of European Sysposium on Research in Security, 1994:1-18.
[6]	冯双. 无线传感器网络节点信任模型研究[J]. 通信技术, 2019, 52(2):434-438.
	Feng Shuang. Exploration on node trust model of wireless sensor networks[J]. Communications Technology, 2019, 52(2):434-438.
[7]	刘隽良, 王月兵, 覃锦端, 等. 零信任模型下的医疗数据安全防护解决之道[J]. 网络空间安全, 2021, 12(4):88-98.
	Liu Juanliang, Wang Yuebing, Qin Jinduan, et al. Medicaldata security protection scheme under the zero trust model[J]. Information Security and Technology, 2021, 12(4):88-98.
[8]	周楠. 无线传感网络中基于信任管理机制的安全路由技术研究[D]. 上海: 上海师范大学, 2019:18-26.
	Zhou Nan. Research on secure routing technology based on trust management mechanism in wireless sensor networks[D]. Shanghai: Shanghai Normal University, 2019:18-26.
[9]	张德海, 韩帅帅, 王宝林. 基于AODV的无线多媒体传感器网络路由协议[J]. 电子科技, 2015, 28(3):87-90.
	Zhang Dehai, Han Shuaishuai, Wang Baolin. Research on routing protocol for wireless sensor networks based on AODV[J]. Electronic Science and Technology, 2015, 28(3):87-90.
[10]	谭小晴. 无线自组织网络路由协议研究[D]. 南京: 南京邮电大学, 2017:29-35.
	Tan Xiaoqing. The study of the rouying protocol for wireless Ad Hoc network[D]. Nanjing: Nanjing University of Posts and Telecommunications, 2017:29-35.
[11]	孙绿叶, 张鲁子, 贾小珠, 等. Ad Hoc网络中一种针对黑洞攻击的研究[J]. 青岛大学学报, 2018, 31(4):107-109.
	Sun Lüye, Zhang Luzi, Jia Xiaozhu, et al. A research on black hole attack in Ad Hoc networks[J]. Journal of Qingdao University, 2018, 31(4):107-109.
[12]	莫家威, 朱麒, 刘凌伶. 一种安全的AODV路由协议改进方案[J]. 科学技术创新, 2021, 25(15):89-91.
	Mo Jiawei, Zhu Qi, Liu Lingling. An improved scheme of secure AODV routing protocol[J]. Scientific and Technological Innovation Information, 2021, 25(15):89-91.
[13]	Harris S, Abdelhafid A, Riri Fitri S, et al. Security and performance enhancement of AODV routing protocol[J]. International Journal of Communication Systems, 2015, 28(14):2003-2019. doi: 10.1002/dac.v28.14
[14]	Shashi G, Siddhartha C. A dynamic threshold based algorithm for improving security and performance of AODV under black-hole attack in MANET[J]. Wireless Networks, 2019, 25(4):1685-1695. doi: 10.1007/s11276-017-1622-y
[15]	Jatothu R, Singh R P. Efficient routing and high security transmission using AODV and distributed protocol key generation with dual RSA[J]. International Journal of Applied Engineering Research, 2017, 12(23):13933-13943.
[16]	Kumar A, Varadarajan V, Dadheech P, et al. Black hole attack detection in vehicular Ad-Hoc network using secure AODV routing algorithm[J]. Microprocessors and Microsystems, 2021, 80(2):1-13.
[17]	Rao M S, Ponguwala M. Secured spray and focus protocol design in intermittently conected mobile networks[J]. International Journal of Information and Computer Security, 2021, 14(4):344-353. doi: 10.1504/IJICS.2021.114710
[18]	刘之滨, 赵欣然. 基于蚁群算法的移动自组网AODV路由协议动态优化[J]. 电子设计工程, 2022, 30(2):151-155.
	Liu Zhibin, Zhao Xinran. Dynamic optimization of AODV routing protocol in mobile ad hoc network based on ant colony algorithm[J]. Electronic Design Engineering, 2022, 30(2):151-155.

Simulation Analysis of the Shortest Path TAODV Routing Protocol Based on Trust Mechanism

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 7

References 18

Related Articles 15

Metrics

Comments

Recommended 0

[1]	SUN Xi,YU Lianzhi. Image Dehazing Algorithm Based on Residual Attention and Semi-Supervised Learning [J]. Electronic Science and Technology, 2023, 36(9): 50-57.
[2]	FANG Yingli,FANG Yuming. Optimal Design of Double Parameter ECDSA Algorithm over GF (2^m) [J]. Electronic Science and Technology, 2023, 36(9): 73-78.
[3]	DANG Xiaofang,CAI Xingyu. Transformer-Based Maneuvering Target Tracking [J]. Electronic Science and Technology, 2023, 36(9): 86-92.
[4]	SUN Hong,ZHAO Yingzhi. Lightweight Generative Adversarial Networks Based on Multi-Scale Gradient [J]. Electronic Science and Technology, 2023, 36(7): 32-38.
[5]	ZHA Junwei,ZHANG Hongyan. Dynamic Receptive Field Feature Selection Dehazing Network [J]. Electronic Science and Technology, 2023, 36(7): 56-63.
[6]	XU Tiantian,XI Zhihong. Face Recognition with Occlusion Based on Improved GD-HASLR Algorithm [J]. Electronic Science and Technology, 2023, 36(6): 72-79.
[7]	SHI Jianke,QIAO Meiying,LI Bingfeng,ZHAO Yan. Underwater Occlusion Target Detection Algorithm Based on Attention Mechanism [J]. Electronic Science and Technology, 2023, 36(5): 62-70.
[8]	LIU Yuwei,CAO Min,FENG Haojia. CNAS Recognition Criteria Automatic Benchmarking System Based on Natural Language Processing [J]. Electronic Science and Technology, 2023, 36(5): 28-33.
[9]	SUN Hong,ZHANG Yuxiang. Super-Resolution Image Reconstruction Algorithm Based on Multi-Feature Gated Feedback Residual Network [J]. Electronic Science and Technology, 2023, 36(4): 65-70.
[10]	SUN Hong,LU Meike. Hybrid Recommendation Algorithm Fused with User Behavior Sequence Prediction [J]. Electronic Science and Technology, 2023, 36(4): 84-89.
[11]	HUANG Yuan,WEI Yunbing,TONG Dongbing,WANG Weigao. Short-Term Photovoltaic Power Prediction Based on VMD and Improved TCN [J]. Electronic Science and Technology, 2023, 36(3): 42-49.
[12]	ZHAO Jin,LI Feifei. A GAN-Based Lightweight Style Transfer Model for Ink Painting [J]. Electronic Science and Technology, 2023, 36(2): 81-86.
[13]	ZUO Bin,LI Feifei. An Effective Segmentation Method for COVID-19 CT Image Based on Attention Mechanism and Inf-Net [J]. Electronic Science and Technology, 2023, 36(2): 22-28.
[14]	ZHANG Wuran,LI Feifei. A 3D Object Detection Network Based on Attention Mechanism and Context Awareness [J]. Electronic Science and Technology, 2023, 36(10): 15-23.
[15]	WANG Ge,YANG Ruihua,XI Wei,ZHAO Jizhong. Deep Completion Based on Multi-Source Data Association Fusion [J]. Electronic Science and Technology, 2023, 36(10): 95-102.