Rate Adaptation Algorithm for Multicast Communication in Tactical Networks

被引:0
|
作者
Rizal, Syamsul [1 ]
Nugroho, Dwi Agung [1 ]
Kim, Seung-Hwan [1 ]
Kim, Dong-Seong [1 ]
机构
[1] Kumoh Natl Inst Technol, Sch Elect Engn, Gumi, South Korea
来源
2015 IEEE MILITARY COMMUNICATIONS CONFERENCE (MILCOM 2015) | 2015年
关键词
Rate adaptation; multicast communication; tactical networks; sectorized coverage; received signal strength indicator (RSSI); delay constraints;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a rate adaptation algorithm for directional multicast communication in tactical networks. The proposed algorithm is based on the received signal strength indicator (RSSI) and delay constraint that are sent by receivers in the network. This feedback from receivers provides accurate real-time information about the current state of the communication channel so that the transmission rates can be varied to reduce the loss of the transmitted data packets. Typically, rate adaptation algorithms consider packet loss, modify frames in only the MAC layer, and accordingly change modulation scheme employed by the transmitter. In the proposed method, the modulation technique used for data transmission is changed according to the RSSI by considering the delay constraints of transmission to ensure satisfactory real-time performance. Simulation results show that the proposed method based on the IEEE 802.11a standard ensure good performance and reliability in terms of reduced the delay, increase throughput and the number of nodes that received data.
引用
收藏
页码:109 / 114
页数:6
相关论文
共 50 条
  • [21] Deploying multicast communication over MPLS networks using tree numbering
    Banimelhem, O
    Atwood, JW
    Agarwal, A
    10TH IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS, PROCEEDINGS, 2005, : 704 - 710
  • [22] A Novel Rate Adaptation Scheme for 802.11 Networks
    Rong, Yanxia
    Teymorian, Amin Y.
    Ma, Liran
    Cheng, Xiuzhen
    Choi, Hyeong-Ah
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2009, 8 (02) : 862 - 870
  • [23] A Cognitive Mechanism for Rate Adaptation in Wireless Networks
    Chaves, Luciano
    Malheiros, Neumar
    Madeira, Edmund
    Garcia, Islene
    Kliazovich, Dzmitry
    MODELLING AUTONOMIC COMMUNICATIONS ENVIRONMENTS, PROCEEDINGS, 2009, 5844 : 58 - +
  • [24] Robust Rate Adaptation for 802.11 Wireless Networks
    Wong, Starsky H. Y.
    Yang, Hao
    Lu, Songwu
    Bharghavan, Vaduvur
    MOBICOM 2006, 2006, : 146 - 157
  • [25] Rate Adaptation for 802.11 Multiuser MIMO Networks
    Shen, Wei-Liang
    Lin, Kate Ching-Ju
    Gollakota, Shyamnath
    Chen, Ming-Syan
    IEEE TRANSACTIONS ON MOBILE COMPUTING, 2014, 13 (01) : 35 - 47
  • [26] Loss differentiated rate adaptation in wireless networks
    Biaz, Saad
    Wu, Shaoen
    WCNC 2008: IEEE WIRELESS COMMUNICATIONS & NETWORKING CONFERENCE, VOLS 1-7, 2008, : 1639 - 1644
  • [27] Rate Adaptation for 802.11 Multiuser MIMO Networks
    Shen, Wei-Liang
    Tung, Yu-Chih
    Lee, Kuang-Che
    Lin, Kate Ching-Ju
    Gollakota, Shyamnath
    Katabi, Dina
    Chen, Ming-Syan
    MOBICOM 12: PROCEEDINGS OF THE 18TH ANNUAL INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING, 2012, : 29 - 39
  • [28] Rate Adaptation and Latency in Heterogeneous IoT Networks
    El Sawy, Hesham
    IEEE COMMUNICATIONS LETTERS, 2021, 25 (02) : 660 - 664
  • [29] Improving The Minstrel Rate Adaptation Algorithm using Shallow Neural Networks in IEEE 802.11ah
    Onasis, Vincent
    Kosasih, Alva
    Gu, Yifan
    Hardjawana, Wibowo
    Qu, Xinwei
    Vucetic, Branka
    Chikkam, Kishore
    2022 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2022, : 1827 - 1832
  • [30] Joint Mobility Management and Multicast Rate Adaptation in Software-Defined Enterprise WLANs
    Coronado, Estefania
    Riggio, Roberto
    Villalon, Jose
    Garrido, Antonio
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2018, 15 (02): : 625 - 637