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    Green-Frag: Energy-Efficient Frame Fragmentation Scheme for Wireless Sensor Networks

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    Anas Daghistani Thesis
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    Type
    Thesis
    Authors
    Daghistani, Anas H.
    Advisors
    Shihada, Basem cc
    Committee members
    Alouini, Mohamed-Slim cc
    Moshkov, Mikhail cc
    Program
    Computer Science
    KAUST Department
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Date
    2013-05-15
    Permanent link to this record
    http://hdl.handle.net/10754/292319
    
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    Abstract
    Power management is an active area of research in wireless sensor networks (WSNs). Efficient power management is necessary because WSNs are battery-operated devices that can be deployed in mission-critical applications. From the communications perspective, one main approach to reduce energy is to maximize throughput so the data can be transmitted in a short amount of time. Frame fragmentation techniques aim to achieve higher throughput by reducing retransmissions. Using experiments on a WSN testbed, we show that frame fragmentation helps to reduce energy consumption. We then study and compare recent frame fragmentation schemes to find the most energy-efficient scheme. Our main contribution is to propose a new frame fragmentation scheme that is optimized to be energy efficient, which is originated from the chosen frame fragmentation scheme. This new energy-efficient frame fragmentation protocol is called (Green-Frag). Green-Frag uses an algorithm that gives sensor nodes the ability to transmit data with optimal transmit power and optimal frame structure based on environmental conditions. Green-Frag takes into consideration the channel conditions, interference patterns and level, as well as the distance between sender and receiver. The thesis discusses various design and implementation considerations for Green-Frag. Also, it shows empirical results of comparing Green-Frag with other frame fragmentation protocols in terms of energy efficiency. Green-Frag performance results shows that it is capable of choosing the best transmit according to the channel conditions. Subsequently, Green-Frag achieves the least energy consumption in all environmental conditions.
    Citation
    Daghistani, A. H. (2013). Green-Frag: Energy-Efficient Frame Fragmentation Scheme for Wireless Sensor Networks. KAUST Research Repository. https://doi.org/10.25781/KAUST-V5V83
    DOI
    10.25781/KAUST-V5V83
    ae974a485f413a2113503eed53cd6c53
    10.25781/KAUST-V5V83
    Scopus Count
    Collections
    MS Theses; Computer Science Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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