Directional Antennas for Convergecast in Wireless Sensor Networks: Are They a Good Idea?

被引:0
|
作者
Tarter, Giovanni [1 ]
Mottola, Luca [2 ,3 ]
Picco, Gian Pietro [1 ]
机构
[1] Univ Trento, Trento, Italy
[2] Politecn Milan, Milan, Italy
[3] SICS Swedish ICT, Kista, Sweden
关键词
D O I
10.1109/MASS.2016.42
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Directional antennas improve network performance by increasing the communication range and alleviating contention as proven, e.g., in cellular and ad-hoc networks. In principle, one may reap similar benefits in wireless sensor networks (WSNs), where energy concerns and reliability requirements make this antenna technology even more desirable. However, it is unclear how the shortcomings of directional antennas, e.g., increased likelihood of hidden terminals, affect WSNs. We quantitatively study these aspects for convergecast, a staple network functionality popular in WSN applications, e.g., for data collection. The integration of directional communication in convergecast protocols is non-trivial: probing wireless links between neighboring nodes is no longer feasible with single broadcast transmissions, as the antenna configuration depends on the target neighbor. This bears a great impact on the efficiency in building and maintaining the routing topology. We perform our study in simulation, based on an empirical model of an existing antenna prototype. This allows us to explore the parameter space efficiently yet realistically; a goal otherwise impossible without several antenna prototypes that, unlike WSN motes, are not readily available. Our results point to a negative answer; directional antennas, when used for WSN convergecast, provide limited benefits, appreciable only when certain specific conditions are met.
引用
收藏
页码:172 / 182
页数:11
相关论文
共 50 条
  • [31] Symmetric Connectivity Algorithms in Multiple Directional Antennas Wireless Sensor Networks
    Tran, Tien
    Huynh, Dung T.
    IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2018), 2018, : 333 - 341
  • [32] Maximum lifetime convergecast tree in wireless sensor networks
    John, Jobish
    Kasbekar, Gaurav S.
    Baghini, Maryam Shojaei
    AD HOC NETWORKS, 2021, 120
  • [33] Maximum Lifetime Convergecast Tree in Wireless Sensor Networks
    John, Jobish
    Kasbekar, Gaurav S.
    Baghini, Maryam Shojaei
    arXiv, 2019,
  • [34] Joint Convergecast and Power Allocation in Wireless Sensor Networks
    Duan, Yaoxin
    Nie, Wendi
    Liu, Kai
    Zhuge, Qingfeng
    Sha, Edwin H. M.
    Lee, Victor C. S.
    2014 15TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED COMPUTING, APPLICATIONS AND TECHNOLOGIES (PDCAT 2014), 2014, : 98 - 104
  • [35] Communication in Wireless Networks with Directional Antennas
    Caragiannis, Ioannis
    Kaklamanis, Christos
    Kranakis, Evangelos
    Krizanc, Danny
    Wiese, Andreas
    SPAA'08: PROCEEDINGS OF THE TWENTIETH ANNUAL SYMPOSIUM ON PARALLELISM IN ALGORITHMS AND ARCHITECTURES, 2008, : 344 - +
  • [36] Geographic convergecast using mobile sink in wireless sensor networks
    Chen, Tzung-Shi
    Tsai, Hua-Wen
    Chang, Yu-Hsin
    Chen, Tzung-Cheng
    COMPUTER COMMUNICATIONS, 2013, 36 (04) : 445 - 458
  • [37] On the use of directional antennas for sensor networks
    Santivanez, C
    Redi, J
    MILCOM 2003 - 2003 IEEE MILITARY COMMUNICATIONS CONFERENCE, VOLS 1 AND 2, 2003, : 670 - 675
  • [38] Medium Access and Power Control Protocol for Wireless Sensor Networks with Directional Antennas
    Chau, A.
    Dawson, J. F.
    Mitchell, P. D.
    2019 10TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC): ICT CONVERGENCE LEADING THE AUTONOMOUS FUTURE, 2019, : 582 - 586
  • [39] Beacon scheduling for broadcast and convergecast in ZigBee wireless sensor networks
    Yeh, Lun-Wu
    Pan, Meng-Shiuan
    COMPUTER COMMUNICATIONS, 2014, 38 : 1 - 12
  • [40] STAGGER: Improving Channel Utilization for Convergecast in Wireless Sensor Networks
    Wang, Jiliang
    Dong, Wei
    Li, Mo
    Liu, Yunhao
    2013 IEEE 10TH INTERNATIONAL CONFERENCE ON MOBILE AD-HOC AND SENSOR SYSTEMS (MASS 2013), 2013, : 452 - 460