• DocumentCode
    265795
  • Title

    A new approach for a better recovery of cluster head nodes in underwater sensor networks

  • Author

    Ovaliadis, Kyriakos ; Savage, Neil ; Tsiantos, Vassilios

  • Author_Institution
    Sch. of Eng. & Sch. of Comput., Univ. of Portsmouth, Portsmouth, UK
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    167
  • Lastpage
    172
  • Abstract
    Energy efficiency is an important issue during the design and the overall performance evaluation of an UWSN system. Clustering sensor nodes have proven to be an effective method to improve the load balancing and scalability of the network while minimizing the system´s overall energy consumption. In this paper, a new clustering algorithm is proposed to provide an improved cluster system against cluster-head failures. This study suggests that system CH failures could be further minimized when simultaneously a CH (primary CH) and a vice/backup CH are selected. Thus, when a primary CH fails due to an irreparable fault, a backup CH will take its place and it will operates as a head node. This study proposes two major procedures in order this to be accomplished, the detection failure and the recovery procedures. The first one initially detects any failures that occurred in the network and then reports this information to the relevant nodes to initiate recovery. The recovery procedure actually decides who and when will trigger the recovery function according to the origin of the CH node failure which can be either the energy depletion of the CH´s battery or a software/hardware malfunction. The simulation results clearly indicate that there is an improvement in terms of network lifetime expectancy and energy consumption.
  • Keywords
    telecommunication power management; underwater acoustic communication; wireless sensor networks; cluster head nodes; detection failure; energy consumption; energy efficiency; load balancing; network lifetime expectancy; recovery procedures; underwater sensor networks; Algorithm design and analysis; Clustering algorithms; Energy consumption; Energy efficiency; Hardware; Software; Wireless sensor networks; clustering; energy efficiency; failure detection; failure recovery; underwater sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications and Multimedia (TEMU), 2014 International Conference on
  • Conference_Location
    Heraklion
  • Type

    conf

  • DOI
    10.1109/TEMU.2014.6917755
  • Filename
    6917755