• DocumentCode
    2347173
  • Title

    An Analytical Modeling Design to Select an Optimal Forwarding Neighbor in Lossy Wireless Sensor Networks

  • Author

    Bhuvaneswari, P.T.V. ; Vaidehi, V. ; Vignesh, T.J.

  • Author_Institution
    Madras Inst. of Technol., Anna Univ., Chennai, India
  • fYear
    2010
  • fDate
    26-28 Nov. 2010
  • Firstpage
    188
  • Lastpage
    193
  • Abstract
    In this paper, a cross layer protocol named Location Based Energy Efficient Routing (LBEER) is proposed. The proposed LBEER protocol addresses the physical, link and network layer issues by selecting an optimal forwarding neighbor based on Packet Reception Rate (PRR), Packet Velocity (One-hop delay) and Residual energy metrics. An analytical model for optimal forwarding neighbor selection was derived based on the study carried by varying the one-hop distance, nature of environment and transmission power level on PRR, Average End to End delay and Energy consumption parameters. The protocol is simulated in Ns2 for grid topology of 25 nodes. From the simulation results, it is found that optimal neighbor selection based on maximum weighted value of PRR, Packet Velocity, Residual Energy in LBEER outperforms standalone metrics in terms of Packet Delivery Ratio, Normalized Energy Consumption and Optimality in Average End to End delay is achieved.
  • Keywords
    energy consumption; radio reception; routing protocols; wireless sensor networks; NS2 simulated; analytical modeling design; average end to end delay; cross layer protocol; energy consumption parameter; grid topology; location based energy efficient routing protocol; lossy wireless sensor network; maximum weighted value; one-hop distance; optimal forwarding neighbor; packet delivery ratio; packet reception rate; packet velocity; residual energy metric; transmission power level; GPS receiver; Location; Packet reception rate; Residual energy; Transmission power; neighbor selection; one-hop delay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Communication Networks (CICN), 2010 International Conference on
  • Conference_Location
    Bhopal
  • Print_ISBN
    978-1-4244-8653-3
  • Electronic_ISBN
    978-0-7695-4254-6
  • Type

    conf

  • DOI
    10.1109/CICN.2010.47
  • Filename
    5701961