• DocumentCode
    2630310
  • Title

    Optimal transmission power of wireless sensors for real-time systems in ship area networks

  • Author

    Yoo, Younghwan ; Choi, Munseok ; Kwon, Ki-Deok ; Jeong, Han-You ; Agrawal, Dharma P.

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Pusan Nat. Univ., Busan, South Korea
  • fYear
    2010
  • fDate
    5-7 May 2010
  • Firstpage
    74
  • Lastpage
    79
  • Abstract
    Ship area networks (SANs) have lately attracted attention in order to guarantee the safety of sea travelers and marine transportation. The wireless sensor network (WSN) is one of the most important components of SAN because crew members must know any damage or malfunction of parts of ships promptly. The safety systems are mostly real-time applications, thus delay is the most important QoS requirement in SAN. Meanwhile, energy consumption is also a traditionally important metric in WSN. Therefore, the goal of this paper is to find the minimum possible transmission power of each sensor node on the condition that it can meet delay constraint. Assuming the uniformly distributed sensor nodes, the proposed method firstly suggests the way to compute the average per-hop advancement with a single transmission. The difference from the actual simulation is less than 1% although it uses only nodal density information. Based on this per-hop advancement, the minimum possible transmission power is calculated, which can guarantee delay QoS for the predetermined ratio of connections in WSNs. The error-prone channel is also considered since packet transmission may frequently fail due to many equipments and ship body made of steel.
  • Keywords
    Delay; Distributed computing; Energy consumption; Marine safety; Marine transportation; Marine vehicles; Real time systems; Sensor systems; Storage area networks; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Pervasive Computing (ISWPC), 2010 5th IEEE International Symposium on
  • Conference_Location
    Modena, Italy
  • Print_ISBN
    978-1-4244-6855-3
  • Electronic_ISBN
    978-1-4244-6857-7
  • Type

    conf

  • DOI
    10.1109/ISWPC.2010.5483749
  • Filename
    5483749