Improved AODV Routing Protocol Based on Local Neighbor Nodes and Link Weights

被引：0
|
作者：
Chen K.-S. [1 ]
Li H.-K. [1 ]
Ruan Y.-L. [1 ]
Wang S.-H. [1 ]
机构：
[1] Institute of Internet of Things, School of Computer Science and Information Engineering, Hubei University, Wuhan
来源：
Chen, Kan-Song (kschen1999@aliyun.com) | 1600年 / Chinese Academy of Sciences卷 / 32期
关键词：
AODV; Cross-layer design; Dynamic probability; Link weight; Local neighbor;
D O I：
10.13328/j.cnki.jos.005970
中图分类号：
学科分类号：
摘要：
The performance of ad hoc networks is particularly influenced by the broadcast storms when the nodes are moving at a high speed in the network. Frequent change in the topology of the network can easily lead to interruption of the route. During searching the route, the broadcast forwarding RREQ (route request packet) mechanism is applied to the traditional AODV routing protocol, leading to broadcast storms. In addition, the traditional routing protocol cannot adapt to the high-speed movement of the nodes due to that the least hop is just used as the route selecting. In this study, an improved AODV routing protocol is proposed. Firstly, the data forwarding probability based on the number of local neighbors is calculated during the route initiation. Secondly, according to the cross-layer design, the link weight based on the speed of the nodes movement is used to select route. The simulation results with NS2 show that the improved routing protocol can be applied to the high-speed mobile networks due to higher delivery ratio of data packets and less end-to-end transmission delay. © Copyright 2021, Institute of Software, the Chinese Academy of Sciences. All rights reserved.
引用
收藏
页码：1186 / 1200
页数：14
相关论文
共 19 条
  • [1] Hu X, Cheng J, Zhou M, Et al., Emotion-aware cognitive system in multi-channel cognitive radio ad hoc networks, IEEE Communications Magazine, 56, 4, pp. 180-187, (2018)
  • [2] Ejmaa AME, Subramaniam S, Zukarnain ZA, Et al., Neighbor-based dynamic connectivity factor routing protocol for mobile ad hoc network, IEEE Access, 4, 99, pp. 8053-8064, (2016)
  • [3] Li SB, Xiao XS, Liu JH., Road segmentation-based vehicle self-organizing network routing protocol, Computer Engineering, 45, pp. 38-43, (2019)
  • [4] Abu Zant M, Yasin A., Avoiding and isolating flooding attack by enhancing AODV MANET protocol (AIF_AODV), Security and Communication Networks, 2019, pp. 1-12, (2019)
  • [5] Liu C, Zhang G, Guo W, Et al., Kalman prediction-based neighbor discovery and its effect on routing protocol in vehicular ad hoc networks, IEEE Trans. on Intelligent Transportation Systems, pp. 1-11, (2019)
  • [6] He ZY., Optimization of ZigBee network routing algorithm based on global energy balance, Computer Application Research, (2018)
  • [7] Sun YW, Wang N, Sun XT., AODV routing protocol based on node density and link stability, Computer Engineering and Design, 37, 12, pp. 3201-3204, (2016)
  • [8] Liu R, Li HY., A AODV improved routing protocol for wireless sensor networks, Journal of Sensing Technology, 31, 11, pp. 1764-1769, (2018)
  • [9] Li Q, Ke Z, Xia D, Et al., A routing protocol for wireless sensor networks with congestion control, Communications and Network, 5, 3, (2013)
  • [10] Huang BH, Mo JW, Lu Q., Improvement scheme of stable AODV protocol based on fuzzy neural network, Computer Engineering and Science, 40, 11, pp. 72-80, (2018)
12