Practical Considerations in the Implementation of Collaborative Beamforming on Wireless Sensor Networks

被引:18
|
作者
Felici-Castell, Santiago [1 ]
Navarro, Enrique A. [1 ,2 ]
Perez-Solano, Juan J. [1 ]
Segura-Garcia, Jaume [1 ]
Garcia-Pineda, Miguel [1 ]
机构
[1] Univ Valencia, Dept Informat, Escola Tecn Super Engn, Avd Univ S-N, E-46100 Burjassot, Spain
[2] Univ Valencia, Inst Robot, Catedrat Jose Beltran 2, Paterna 46980, Spain
关键词
wireless sensor networks; collaborative beamforming; distributed beamforming; cooperative beamforming; TIME SYNCHRONIZATION;
D O I
10.3390/s17020237
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Wireless Sensor Networks (WSNs) are composed of spatially distributed autonomous sensor devices, named motes. These motes have their own power supply, processing unit, sensors and wireless communications However with many constraints, such as limited energy, bandwidth and computational capabilities. In these networks, at least one mote called a sink, acts as a gateway to connect with other networks. These sensor networks run monitoring applications and then the data gathered by these motes needs to be retrieved by the sink. When this sink is located in the far field, there have been many proposals in the literature based on Collaborative Beamforming (CB), also known as Distributed or Cooperative Beamforming, for these long range communications to reach the sink. In this paper, we conduct a thorough study of the related work and analyze the requirements to do CB. In order to implement these communications in real scenarios, we will consider if these requirements and the assumptions made are feasible from the point of view of commercial motes and their constraints. In addition, we will go a step further and will consider different alternatives, by relaxing these requirements, trying to find feasible assumptions to carry out these types of communications with commercial motes. This research considers the nonavailability of a central clock that synchronizes all motes in the WSN, and all motes have identical hardware. This is a feasibility study to do CB on WSN, using a simulated scenario with randomized delays obtained from experimental data from commercial motes.
引用
收藏
页数:19
相关论文
共 50 条
  • [41] An Event-Triggered Energy-Efficient Clustering in Collaborative Beamforming for Wireless Sensor Networks
    Jianxin Ma
    Shuo Shi
    Si Tian
    Xuemai Gu
    Journal of Harbin Institute of Technology(New series), 2016, (05) : 8 - 14
  • [42] Improving Performance of Distributed Collaborative Beamforming in Mobile Wireless Sensor Networks: A Multiobjective Optimization Method
    Sun, Geng
    Zhao, Xiaohui
    Shen, Guojun
    Liu, Yanheng
    Wang, Aimin
    Jayaprakasam, Suhanya
    Zhang, Ying
    Leung, Victor C. M.
    IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (08) : 6787 - 6801
  • [43] A Sidelobe and Energy Optimization Array Node Selection Algorithm for Collaborative Beamforming in Wireless Sensor Networks
    Sun, Geng
    Liu, Yanheng
    Liang, Shuang
    Chen, Zhaoyu
    Wang, Aimin
    Ju, Qianao
    Zhang, Ying
    IEEE ACCESS, 2018, 6 : 2515 - 2530
  • [44] Wireless Powered Sensor Networks: Collaborative Energy Beamforming Considering Sensing and Circuit Power Consumption
    Xu, Jie
    Zhong, Zhangdui
    Ai, Bo
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2016, 5 (04) : 344 - 347
  • [45] Sidelobe reduction and capacity improvement of open-loop collaborative beamforming in wireless sensor networks
    Jayaprakasam, Suhanya
    Rahim, Sharul Kamal Abdul
    Leow, Chee Yen
    Ting, Tiew On
    PLOS ONE, 2017, 12 (05):
  • [46] Collaborative Wireless Sensor Networks and Applications
    Zhu, Rongbo
    Ma, Maode
    Zhang, Yan
    Hu, Jiankun
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2015,
  • [47] Optimal Beamforming for Secure Transmit in Practical Wireless Networks
    Yang, Qiuqin
    Li, Linfang
    Luo, Ming-Xing
    Wang, Xiaojun
    CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 73 (01): : 1863 - 1877
  • [48] Collaborative Wireless Sensor Networks: A Survey
    Li, Wenfeng
    Bao, Junrong
    Shen, Weiming
    2011 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2011, : 2614 - 2619
  • [49] Collaborative Sampling in Wireless Sensor Networks
    Huang, Minglei
    Hu, Yu Hen
    2010 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE GLOBECOM 2010, 2010,
  • [50] Collaborative localization for wireless sensor networks
    de Bri, Lina M. Pestana Leao
    Peralta, Laura M. Rodriguez
    2007 IEEE 18TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, VOLS 1-9, 2007, : 368 - +