Power optimization of wireless sensor networks at design time

被引:0
|
作者
Wenninger, Joseph [1 ]
Moreno, Javier [1 ]
Haase, Jan [1 ]
机构
[1] Vienna Univ Technol, Inst Comp Technol, A-1040 Vienna, Austria
来源
关键词
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In the ever growing area of wireless sensor networks it is very important to estimate the energy usage of sensor nodes, especially if they should be powered by a battery. Often the accumulated energy consumption of a message delivery across the whole network is of interest too, in order to estimate battery life times, since message forwarding needs energy too. For rapid development cycles, fast but accurate simulations are needed. The approach presented in this paper uses transaction level modeling (TLM) to speedup simulation of wireless communication systems. The fundamental idea is that air communication can be modeled similary to a multi master bus. Nodes are simulated by employing a multi-threaded instruction set simulator (ISS) and models of the peripheral components. The energy usage for sensing, receiving and transmitting can be estimated in the simulation and this information can then be attached to TLM messages for accumulation related to messages. The example use case throughout this paper is a tyre pressure monitoring system. The modeling and simulation is done in SystemC.(1)
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Improved Joint Optimization Design for Wireless Sensor and Actuator Networks with Time Delay
    Liu, Lihan
    Guo, Yuehui
    Sun, Yang
    Wang, Zhuwei
    Sun, Enchang
    Sun, Yanhua
    [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2021, 2021
  • [2] Improved Joint Optimization Design for Wireless Sensor and Actuator Networks with Time Delay
    Liu, Lihan
    Guo, Yuehui
    Sun, Yang
    Wang, Zhuwei
    Sun, Enchang
    Sun, Yanhua
    [J]. Wireless Communications and Mobile Computing, 2021, 2021
  • [3] Optimization of multilevel power adjustment in wireless sensor networks
    Sheng-Tzong Cheng
    Mingzoo Wu
    [J]. Telecommunication Systems, 2009, 42 : 109 - 121
  • [4] OPTIMIZATION OF POWER ALLOCATION IN MULTIMEDIA WIRELESS SENSOR NETWORKS
    Yang, Ming
    Wang, Dajin
    [J]. 2011 INTERNATIONAL CONFERENCE ON COMPUTER AND COMPUTATIONAL INTELLIGENCE (ICCCI 2011), 2012, : 635 - 643
  • [5] Optimization of multilevel power adjustment in wireless sensor networks
    Cheng, Sheng-Tzong
    Wu, Mingzoo
    [J]. TELECOMMUNICATION SYSTEMS, 2009, 42 (1-2) : 109 - 121
  • [6] Design and optimization of antennas with wireless sensor networks applications
    Mussetta, M.
    Gandelli, A.
    Zich, R. E.
    [J]. MICROELECTRONICS: DESIGN, TECHNOLOGY, AND PACKAGING III, 2008, 6798
  • [7] Design Optimization of a RES-based Power-Supply System for Wireless Sensor Networks
    Mandourarakis, Ioannis
    Koutroulis, Eftichios
    [J]. 2015 IEEE 15TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (IEEE EEEIC 2015), 2015, : 278 - 283
  • [8] Alternating Optimization Algorithms for Power Adjustment and Receive Filter Design in Multihop Wireless Sensor Networks
    Wang, Tong
    de lamare, Rodrigo C.
    Schmeink, Anke
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2015, 64 (01) : 173 - 184
  • [9] Power saving and energy optimization techniques for wireless sensor networks
    Sendra S.
    Lloret J.
    García M.
    Toledo J.F.
    [J]. Journal of Communications, 2011, 6 (06): : 439 - 459
  • [10] A Pareto Optimization Applied in Power Control of Wireless Sensor Networks
    Chen, Hao
    Zhang, Xiufeng
    Lie, Zhang
    [J]. INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING, 2016, 9 (07): : 65 - 72