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An adaptive and efficient buffer management scheme for resource-constrained delay tolerant networks

Moetesum, Momina (författare)
Department of Computer Science, Bahria University, Islamabad
Hadi, Fazle (författare)
Department of Computer Science, Bahria University, Islamabad
Imran, Muhammad Al (författare)
College of Computer and Information Sciences, Almuzahmiyah, King Saud University
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Minhas, Abid Ali (författare)
Department of Computer Science, Bahria University, Islamabad
Vasilakos, Athanasios (författare)
Luleå tekniska universitet,Datavetenskap
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 (creator_code:org_t)
2015-10-19
2016
Engelska.
Ingår i: Wireless networks. - : Springer Science and Business Media LLC. - 1022-0038 .- 1572-8196. ; 22:7, s. 2189-2201
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Provisioning buffer management mechanism is especially crucial in resource-constrained delay tolerant networks (DTNs) as maximum data delivery ratio with minimum overhead is expected in highly congested environments. However, most DTN protocols do not consider resource limitations (e.g., buffer, bandwidth) and hence, results in performance degradation. To strangle and mitigate the impact of frequent buffer overflows, this paper presents an adaptive and efficient buffer management scheme called size-aware drop (SAD) that strives to improve buffer utilization and avoid unnecessary message drops. To improve data delivery ratio, SAD exactly determines the requirement based on differential of newly arrived message(s) and available space. To vacate inevitable space from a congested buffer, SAD strives to avoid redundant message drops and deliberate to pick and discard most appropriate message(s) to minimize overhead. The performance of SAD is validated through extensive simulations in realistic environments (i.e., resource-constrained and congested) with different mobility models (i.e., Random Waypoint and disaster). Simulation results demonstrate the performance supremacy of SAD in terms of delivery probability and overhead ratio besides other metrics when compared to contemporary schemes based on Epidemic (DOA and DLA) and PRoPHET (SHLI and MOFO).

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Medieteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Media and Communication Technology (hsv//eng)

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Mobile and Pervasive Computing
Distribuerade datorsystem

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