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Open AccessArticle

Location-Based Lattice Mobility Model for Wireless Sensor Networks

1
College of Information Technology, Al-Hussein Bin Talal University, Ma’an, Jordan
2
Department of Computer Engineering & Telecommunication, International IT University, Almaty, Kazakhstan
3
Jordan University of Science and Technology, Irbid 22110, Jordan
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(12), 4096; https://doi.org/10.3390/s18124096
Received: 21 September 2018 / Revised: 12 November 2018 / Accepted: 13 November 2018 / Published: 22 November 2018
(This article belongs to the Special Issue Future Research Trends in Internet of Things and Sensor Networks)
Significant research has been conducted for maintaining a high standard of communication and good coverage in wireless sensor networks (WSNs), but extra power consumption and mobility issues are not yet fully resolved. This paper introduces a memory-less location mobility-aware Lattice Mobility Model (LMM) for WSNs. LMM is capable of concurrently determining the node and sink mobility. LMM has a lower pause time, fewer control packets, and less node dependency (e.g., the energy consumed by each node in each cycle that is independent of the data traffic). LMM accurately determines a node’s moving location, the distance from its previous location to its current location, and the distance from its existing location to its destination. Many existing mobility models only provide a model how nodes move (e.g., to mimic pedestrian behavior), but do not actually control the next position based on properties of the underlying network topology. To determine the strength of LMM, OMNet++ was used to generate the realistic scenario to safeguard the affected area. The operation in affected area comprises searching for, detecting, and saving survivors. Currently, this process involves a time-consuming, manual search of the disaster area. This contribution aims to identify an energy efficient mobility model for a walking pattern in this particular scenario. LMM outperforms other mobility models, including the geographic-based circular mobility model (CMM), the random waypoint mobility model (RWMM) and the wind mobility model (WMM), The simulation results also demonstrate that the LMM requires the least time to change the location, has a lower drop rate, and has more residual energy savings than do the WMM, RWMM, and CMM. View Full-Text
Keywords: wireless sensor networks; mobility; energy saving; disaster recovery; lattice mobility model; pattern wireless sensor networks; mobility; energy saving; disaster recovery; lattice mobility model; pattern
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Al-Rahayfeh, A.; Razaque, A.; Jararweh, Y.; Almiani, M. Location-Based Lattice Mobility Model for Wireless Sensor Networks. Sensors 2018, 18, 4096.

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