• DocumentCode
    138445
  • Title

    Handoff Algorithms for Industrial Mobile Wireless Sensor Networks

  • Author

    Zinonos, Zinon ; Vassiliou, Vasos

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Cyprus, Nicosia, Cyprus
  • fYear
    2014
  • fDate
    March 30 2014-April 2 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The management of mobility in industrial wireless sensor networks (WSN) is especially challenging because of the ad-hoc nature of the networks. To support the mobility of the user while maintaining at the same time its connectivity, the supporting handoff mechanisms need to be carefully considered. Two of the main phases of a handoff are the triggering and the decision process. In this paper, we consider two triggering options, the RSSI and the Link Loss. In addition, we propose a new handoff decision scheme named Burst Loss Algorithm (BLA) compared with the traditional RSSI-based decision option. We evaluate the four resulting combinations of the triggering and handoff options with respect to the end-to-end packet loss and the total power consumption, and at the same time we determine the effectiveness of each solution by measuring and relating the number of handoff triggers and the actual handoffs performed. The results show that a combination of handoff decisions outperforms any single-based handoff decision.
  • Keywords
    mobility management (mobile radio); packet radio networks; radio links; wireless sensor networks; RSSI; WSN; ad-hoc nature; decision process; end-to-end packet loss; handoff mechanisms; industrial mobile wireless sensor networks; link loss; mobility management; power consumption; single-based handoff decision; Hysteresis; Manganese; Packet loss; Power demand; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Technologies, Mobility and Security (NTMS), 2014 6th International Conference on
  • Conference_Location
    Dubai
  • Type

    conf

  • DOI
    10.1109/NTMS.2014.6814021
  • Filename
    6814021