Adaptive and Beacon-based multi-channel protocol for Industrial Wireless Sensor Networks

被引:16
作者
Gomes, Ruan D. [1 ]
Benavente-Peces, Cesar [2 ]
Fonseca, Iguatemi E. [3 ]
Alencar, Marcelo S. [4 ]
机构
[1] Fed Inst Educ Sci & Technol Paraiba, Informat Coordinat, Campus Campina Grande, Campina Grande, Paraiba, Brazil
[2] Univ Politecn Madrid, Signal Theory & Commun Dept, Madrid, Spain
[3] Univ Fed Paraiba, Informat Ctr, Joao Pessoa, Paraiba, Brazil
[4] Univ Fed Bahia, Postgrad Program Elect Engn, Salvador, BA, Brazil
关键词
Industrial Wireless Sensor Networks; Link quality estimation; Adaptive protocols; CHANNEL; COMMUNICATION; DESIGN;
D O I
10.1016/j.jnca.2019.01.025
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a novel protocol for Industrial Wireless Sensor Networks (IWSN), which is called Adaptive and Beacon-based Multi-Channel Protocol (ABMP), and combines multi-channel communication, real-time link quality estimation, and dynamic channel allocation, to deal with the problems that affect the link quality in industrial environments. A hybrid channel diversity mechanism is employed, in which the beacon frames are transmitted using channel hopping, and the unicast data packets are transmitted using channel adaptation. The network dynamically allocates the channels to deal with temporal and spatial variations in the channel quality. Referring to ABMP, the end-nodes do not need to receive all the beacons to maintain the communication. As demonstrated in this paper, the proposed approach makes the network more robust against problems related to the beacon reception. The ABMP has been compared to the protocols TSCH, and CSMA/CA for networks with the star and the tree topologies, using theoretical and simulation studies, with a realistic channel model for the IWSN. The results indicate that the proposed protocol presents a better performance in comparison to the MAC protocols defined by the new standards for IWSN, in terms of packet delivery rate, delay, and determinism.
引用
收藏
页码:22 / 39
页数:18
相关论文
共 41 条
  • [1] Agrawal P, 2014, IEEE ICC, P1, DOI 10.1109/ICC.2014.6883285
  • [2] Long Term Channel Characterization for Energy Efficient Transmission in Industrial Environments
    Agrawal, Piyush
    Ahlen, Anders
    Olofsson, Tomas
    Gidlund, Mikael
    [J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 2014, 62 (08) : 3004 - 3014
  • [3] [Anonymous], TECH REP
  • [4] [Anonymous], 2017, J COMMUN INF SYST
  • [5] [Anonymous], LOC METR AR NETW SPE
  • [6] [Anonymous], REV TECNOLOGIA INFOR
  • [7] [Anonymous], 6 INT C SENS NETW
  • [8] Astrin A., 2012, 154E 2012 IEEE STAND, DOI [DOI 10.1109/IEEESTD.2012.6161600, DOI 10.1109/IEEESTD.2012.6185525]
  • [9] Reliable link quality estimation in low-power wireless networks and its impact on tree-routing
    Baccour, Nouha
    Koubaa, Anis
    Youssef, Habib
    Alves, Mario
    [J]. AD HOC NETWORKS, 2015, 27 : 1 - 25
  • [10] Radio Link Quality Estimation in Wireless Sensor Networks: A Survey
    Baccour, Nouha
    Koubaa, Anis
    Mottola, Luca
    Zuniga, Marco Antonio
    Youssef, Habib
    Boano, Carlo Alberto
    Alves, Mario
    [J]. ACM TRANSACTIONS ON SENSOR NETWORKS, 2012, 8 (04)