• DocumentCode
    146544
  • Title

    Optimized ML-MAC for energy-efficient Wireless Sensor Network protocol

  • Author

    Thalore, Ranjana ; Manju ; Jha, M.K.

  • Author_Institution
    Fac. of Eng. & Technol., Mody Univ. of Sci. & Technol., Lakshmangarh, India
  • fYear
    2014
  • fDate
    25-26 Sept. 2014
  • Firstpage
    396
  • Lastpage
    400
  • Abstract
    Energy efficient protocol design for Wireless Sensor Networks (WSNs) is a very challenging task because of limited battery capacity of nodes. This necessity for energy efficient operation of a WSN has prompted the development of new protocols in all layers of the communication stack. Layer-wise utilization of densely deployed nodes to effectively prolong the overall network life is presented in this paper. Simulation is done in QualNet 6.1 network simulator. Effective number of layers as well as effective node density over a terrain is also analyzed to achieve energy efficient design. Layering helps the network to work for a long time as only one layer in the network is in action at a time, rest layers are completely sleeping. Also, sensor nodes in ML-MAC (Multi-Layer MAC) have a very short listening time that reduces the energy consumption during communication. The results are used to create a parameter estimator through MATLAB.
  • Keywords
    access protocols; energy consumption; wireless sensor networks; MATLAB; QualNet 6.1 network simulator; WSN; energy consumption; energy efficient design; energy-efficient wireless sensor network protocol; layer-wise utilization; multilayer MAC; optimized ML-MAC; parameter estimator; Batteries; Delays; IEEE 802.15 Standards; MATLAB; Protocols; Throughput; Wireless sensor networks; IEEE 802.15.4; ML-MAC; Network Lifetime; QualNet 6.1; Wireless Sensor Networks (WSNs);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Confluence The Next Generation Information Technology Summit (Confluence), 2014 5th International Conference -
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-4237-4
  • Type

    conf

  • DOI
    10.1109/CONFLUENCE.2014.6949326
  • Filename
    6949326