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Location-Based Lattice Mobility Model for Wireless Sensor Networks.

Amer Al-Rahayfeh1, Abdul Razaque2, Yaser Jararweh3

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Summary
This summary is machine-generated.

A new Lattice Mobility Model (LMM) for wireless sensor networks (WSNs) improves node and sink mobility. LMM offers reduced energy consumption and better performance in disaster scenarios compared to existing models.

Keywords:
disaster recoveryenergy savinglattice mobility modelmobilitypatternwireless sensor networks

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Area of Science:

  • Computer Science
  • Network Engineering
  • Wireless Communication

Background:

  • Wireless Sensor Networks (WSNs) face challenges in power consumption and mobility management.
  • Existing mobility models often lack network topology awareness and efficient control.

Purpose of the Study:

  • Introduce a memory-less, location, and mobility-aware Lattice Mobility Model (LMM) for WSNs.
  • Address energy efficiency and mobility issues in WSNs, particularly for disaster response scenarios.

Main Methods:

  • Developed the Lattice Mobility Model (LMM) considering node and sink mobility.
  • Utilized OMNet++ for realistic scenario simulations to evaluate LMM's performance.
  • Compared LMM against Circular Mobility Model (CMM), Random Waypoint Mobility Model (RWMM), and Wind Mobility Model (WMM).

Main Results:

  • LMM demonstrates lower pause times, fewer control packets, and reduced node dependency.
  • LMM accurately determines node movement, distances, and destination.
  • Simulation results show LMM requires less time for location changes, has lower drop rates, and achieves greater residual energy savings.

Conclusions:

  • LMM is an energy-efficient mobility model suitable for WSNs, especially in disaster search and rescue scenarios.
  • LMM outperforms existing models in terms of efficiency, speed, and network performance.