Energy Consumption Analysis for Sensors in Multi-sink Wireless Sensor Networks

被引:0
|
作者
Cheng, Rei-Heng [1 ]
Huang, Chiming [2 ]
Fang, Wen-Pinn [1 ]
Chen, Shang-Kuan [1 ]
Wang, Ran-Zan [3 ]
机构
[1] Yuanpei Univ, Dept Comp Sci & Informat Engn, Hsinchu, Taiwan
[2] Chinese Culture Univ, Dept Elect Engn, Taipei, Taiwan
[3] Yuan Ze Univ, Dept Comp Sci & Engn Engn, Chungli, Taiwan
关键词
Bottleneck; Load Distribution; Sensor Deployment; Multi-sink Wireless Sensor Network;
D O I
10.1109/IIH-MSP.2014.188
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A multi-sink wireless sensor network (WSN) is composed of a large number of sensors deployed in a wide area and there are some special sensors referred as sinks which play the role of data collector. Since sensors located in different positions may bear different communication responsibilities, e.g. forwarding the data generated by some other sensors, the loading of each sensor in network is heterogeneous. In this paper, we evaluate the energy consumption of sensors deployed uniformly in multi-sink WSNs. With the knowledge of load distribution of a network, a sensor deployment strategy by density control is also proposed to balance the loading of sensors in different tiers, prolong the network lifetime, and increase the successful data delivery as possible. Simulation results show that the data delivery and survival rates are significantly improved by the proposed methods.
引用
收藏
页码:735 / 738
页数:4
相关论文
共 50 条
  • [1] Energy efficient multi-sink positioning and architecture for Wireless Sensor Networks
    Baumgartner, Karl
    Robert, Stephan
    [J]. PROCEEDINGS OF THE FIFTH IASTED INTERNATIONAL CONFERENCE ON COMMUNICATIONS, INTERNET, AND INFORMATION TECHNOLOGY, 2006, : 289 - +
  • [2] Energy Coherent Fog Networks Using Multi-Sink Wireless Sensor Networks
    Ramadan, Rabie A.
    Sharif, Md. Haidar
    Alreshidi, Eissa Jaber
    Sharif, Md. Haris Uddin
    Ince, Ibrahim Furkan
    Kamberaj, Hiqmet
    Khedr, Ahmed Y.
    [J]. IEEE ACCESS, 2021, 9 : 167715 - 167735
  • [3] A Reconfiguration Framework for Multi-Sink Wireless Sensor Networks
    Carlos-Mancilla, Miriam
    Lopez-Mellado, Ernesto
    Siller, Mario
    [J]. 2019 GLOBAL INFORMATION INFRASTRUCTURE AND NETWORKING SYMPOSIUM (GIIS), 2019,
  • [4] An Optimal Sink Selection Scheme for Multi-sink Wireless Sensor Networks
    Luo, Danyan
    Zuo, Decheng
    Yang, Xiaozong
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, 2008, : 544 - 548
  • [5] Multi-sink Optimal Repositioning for Energy and Power Optimization in Wireless Sensor Networks
    S. Yasotha
    V. Gopalakrishnan
    M. Mohankumar
    [J]. Wireless Personal Communications, 2016, 87 : 335 - 348
  • [6] Multi-sink Optimal Repositioning for Energy and Power Optimization in Wireless Sensor Networks
    Yasotha, S.
    Gopalakrishnan, V.
    Mohankumar, M.
    [J]. WIRELESS PERSONAL COMMUNICATIONS, 2016, 87 (02) : 335 - 348
  • [7] Energy Efficient QoS Routing in Multi-Sink Wireless Multimedia Sensor Networks
    Agarkhed, Jayashree
    Biradar, G. S.
    Mytri, V. D.
    [J]. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2012, 12 (05): : 25 - 31
  • [8] Multi-sink Relocation with Constrained Movement in Wireless Sensor Networks
    Boukhatem, L.
    Friedmann, L.
    [J]. AD HOC & SENSOR WIRELESS NETWORKS, 2009, 8 (3-4) : 211 - 233
  • [9] An Agent Based Framework for Multi-Sink Wireless Sensor Networks
    Carlos-Mancilla, Miriam
    Lopez-Mellado, Ernesto
    Siller, Mario
    [J]. ENC'16: PROCEEDINGS OF THE SIXTEENTH MEXICAN INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE, 2015,
  • [10] Effect of sink location and redundancy on multi-sink wireless sensor networks: a capacity and delay analysis
    Barani, Hajar
    Jaradat, Yousef
    Huang, Hong
    Li, Zhicheng
    Misra, Satyajayant
    [J]. IET COMMUNICATIONS, 2018, 12 (08) : 941 - 947