Rough Set-Based Analysis of Multilayer Stack Parameter on QoS of MANET

  • N. PathvirajEmail author
  • Santosh L. Deshpande
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 28)


The multi-constrained quality of service (QoS) routing in MANET considers multiple QoS parameters to route the packet from source to destination. Taking decision on which criteria different QoS parameters have to be taken into consideration is a critical task in dynamic network scenarios like MANET. The network scenario and stack parameters are aligned with different layers like application, MAC, physical change hand in hand. The set of these stack parameters has a significant impact on different QoS parameters, and trade-off point between these stack parameters is identified to estimate the significance of stack parameters in QoS parameters of the MANET. The rough set theory is used to identify trade-off point to estimate the significance of the stack parameter on different QoS parameters and QoS parameters to be considered in routing. The rough set decision rules are filtered out based on probabilistic properties like strength, certainty, and coverage of the decision rules. The positive dependency between conditions and decisions of selected decision rules is confirmed with certainty and coverage of relationships. The Rough Set Exploration System (RSES) is used for extensive analysis of QoS in data delivery under seven different stack parameter configurations like packet inter-arrival time, payload, and retry delay. The different stages of RSES like data exploration, discretization, reduction, and decision rules are applied to QoS values of different routes. The empirical model of stack parameters is derived for multi-parameter optimization to get best-effort QoS in all routes of the MAENT. The decision rules are selected based on strength and certainty, and coverage of decision rules will be used in the routing algorithm to get best QoS in MANET routing.


  1. 1.
    Lahyani I, Khabou N, Jmaiel M (2012) QoS monitoring and analysis approach for publish/subscribe systems deployed on MANET. In: 20th Euromicro international conference on parallel, distributed and network-based processing, pp 120–124Google Scholar
  2. 2.
    Rao M, Singh N (2015) Simulation of various QoS parameters in a high density Manet set-up using AODV nthBR protocol for multimedia transmission, data transmission and under congestion scenario. ICTACT J Commun Technol 06(03):1155–1159CrossRefGoogle Scholar
  3. 3.
    Johari L, Mishra RK (2016) A review on the recent quality-of-services (QoS) issues in MANET. Int J Comput Appl (0975 – 8887) 139(5):27–33Google Scholar
  4. 4.
    Mohapatra P, Li Jian, Gui Chao (2003) QoS in mobile ad hoc networks. IEEE Wirel Commun 10(3):44–52CrossRefGoogle Scholar
  5. 5.
    Pawlak Z (1982) Rough sets. Int J Comput Inform Sci 11(5):341–356CrossRefGoogle Scholar
  6. 6.
    Polkowski L (2002) Rough sets—mathematical foundations. In: Advances in soft computing, Physica Verlag, Springer Verlag Company, 1-534Google Scholar
  7. 7.
    Pawlak Z (2000) Rough sets and decision algorithms. Rough sets and current trends in computing, LNAI, pp 30–45Google Scholar
  8. 8.
    Braden R, Clark D, Shenker S (1994) Integrated services in the Internet architecture: an overview. Technical Report 1633Google Scholar
  9. 9.
    Black D (2000) Differentiated services and tunnels. RFC2983Google Scholar
  10. 10.
    Xio H, Seah WKG, Lo A, Chua KC (2000) A flexible quality of service model for mobile ad-hoc networks. IEE VTC2000-spring, Tokyo, JapanGoogle Scholar
  11. 11.
    Pawlak Z (1991) Theoretical aspects of reasoning about data. Kluwer Academic PublishersGoogle Scholar
  12. 12.
    Pawlak Z (1998) An inquiry into anatomy of conflicts. J Inform Sci 109:65–68MathSciNetCrossRefGoogle Scholar
  13. 13.
    Fu S, Zhang Y, Jiang Y, Hu C, Shih C-Y, Marrón PJ (2015) Experimental study for multi-layer parameter configuration of WSN links. In: IEEE 35th international conference on distributed computing systems, pp 369–378Google Scholar
  14. 14.
  15. 15.
    Lian J, Li L, Zhu X (2007) A multi-constraint QoS routing protocol with route-request selection based on mobile predicting in MANET. In: International conference on computational intelligence and security workshops, pp 342–345Google Scholar

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© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of PG StudiesVisvesvaraya Technological UniversityBelagaviIndia

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