IDEAS home Printed from https://ideas.repec.org/a/epw/ejece0/v6y2022i1id19387.html

An Effective Heuristics Approach for Performance Enhancement of MANET

Author

Listed:
  • Koshal Rahman Rahmani
  • Md Sohel Rana
  • Md Alamin Hossan
  • Wali Mohammad Wadeed

Abstract

Mobile Ad-hoc Networks (MANET) are widely adopted in almost all research fields due to their significant advantages like minimal energy consumption and compact size. In MANET major challenges are optimal coverage, a lifetime of nodes, and throughput. This paper proposed a hybrid ant colony-flower pollination (HAC - FP) algorithm for throughput maximization and minimal energy consumption in a sensor network. To enhance the performance of the MANET network this research adopts the meta-heuristic technique. The meta-heuristic approach utilized for the MANET network is the ant colony and flower pollination algorithm. The planned HAC-FP makes use of neighborhood distance to determine the best position for each node. With hypersphere localization, the Levy struggle in flower pollination is used for optimal energy location. The placement of sensor nodes is identified in the first step using a hypersphere. Sensor network node energy consumption is lowered based on neighborhood distance. The results showed that the suggested HAC-FP algorithm, rather than existing methodologies, enhances the MANET network's coverage area. Further proposed HAC-FP algorithm minimizes the energy consumption level of the MANET than the conventional genetic approach.

Suggested Citation

  • Koshal Rahman Rahmani & Md Sohel Rana & Md Alamin Hossan & Wali Mohammad Wadeed, 2022. "An Effective Heuristics Approach for Performance Enhancement of MANET," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 6(1), pages 16-23, January.
    • Handle: RePEc:epw:ejece0:v:6:y:2022:i:1:id:19387
    DOI: 10.24018/ejece.2022.6.1.387
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejece/article/view/19387
    File Function: Abstract page
    Download Restriction: no
    File URL: https://eu-opensci.org/index.php/ejece/article/download/19387/11223
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.24018/ejece.2022.6.1.387?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Castillo, Ignacio & Kampas, Frank J. & Pintér, János D., 2008. "Solving circle packing problems by global optimization: Numerical results and industrial applications," European Journal of Operational Research, Elsevier, vol. 191(3), pages 786-802, December.
    2. Birgin, E. G. & Martinez, J. M. & Ronconi, D. P., 2005. "Optimizing the packing of cylinders into a rectangular container: A nonlinear approach," European Journal of Operational Research, Elsevier, vol. 160(1), pages 19-33, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Galiev, Shamil I. & Lisafina, Maria S., 2013. "Linear models for the approximate solution of the problem of packing equal circles into a given domain," European Journal of Operational Research, Elsevier, vol. 230(3), pages 505-514.
    2. Zeng, Zhizhong & Yu, Xinguo & He, Kun & Huang, Wenqi & Fu, Zhanghua, 2016. "Iterated Tabu Search and Variable Neighborhood Descent for packing unequal circles into a circular container," European Journal of Operational Research, Elsevier, vol. 250(2), pages 615-627.
    3. Huang, Wenqi & Ye, Tao, 2011. "Global optimization method for finding dense packings of equal circles in a circle," European Journal of Operational Research, Elsevier, vol. 210(3), pages 474-481, May.
    4. Fu, Zhanghua & Huang, Wenqi & Lü, Zhipeng, 2013. "Iterated tabu search for the circular open dimension problem," European Journal of Operational Research, Elsevier, vol. 225(2), pages 236-243.
    5. Niblett, Matthew R. & Church, Richard L., 2015. "The disruptive anti-covering location problem," European Journal of Operational Research, Elsevier, vol. 247(3), pages 764-773.
    6. E. G. Birgin & R. D. Lobato & J. M. Martínez, 2017. "A nonlinear programming model with implicit variables for packing ellipsoids," Journal of Global Optimization, Springer, vol. 68(3), pages 467-499, July.
    7. E. G. Birgin & R. D. Lobato & J. M. Martínez, 2016. "Packing ellipsoids by nonlinear optimization," Journal of Global Optimization, Springer, vol. 65(4), pages 709-743, August.
    8. Yaohua He & Yong Wu, 2013. "Packing non-identical circles within a rectangle with open length," Journal of Global Optimization, Springer, vol. 56(3), pages 1187-1215, July.
    9. Akang Wang & Christopher L. Hanselman & Chrysanthos E. Gounaris, 2018. "A customized branch-and-bound approach for irregular shape nesting," Journal of Global Optimization, Springer, vol. 71(4), pages 935-955, August.
    10. T. Kubach & A. Bortfeldt & H. Gehring, 2009. "Parallel greedy algorithms for packing unequal circles into a strip or a rectangle," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 17(4), pages 461-477, December.
    11. Andretta, M. & Birgin, E.G., 2013. "Deterministic and stochastic global optimization techniques for planar covering with ellipses problems," European Journal of Operational Research, Elsevier, vol. 224(1), pages 23-40.
    12. I Al-Mudahka & M Hifi & R M'Hallah, 2011. "Packing circles in the smallest circle: an adaptive hybrid algorithm," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(11), pages 1917-1930, November.
    13. Giorgio Fasano, 2013. "A global optimization point of view to handle non-standard object packing problems," Journal of Global Optimization, Springer, vol. 55(2), pages 279-299, February.
    14. János Pintér & Zoltán Horváth, 2013. "Integrated experimental design and nonlinear optimization to handle computationally expensive models under resource constraints," Journal of Global Optimization, Springer, vol. 57(1), pages 191-215, September.
    15. Lai, Xiangjing & Hao, Jin-Kao & Yue, Dong & Lü, Zhipeng & Fu, Zhang-Hua, 2022. "Iterated dynamic thresholding search for packing equal circles into a circular container," European Journal of Operational Research, Elsevier, vol. 299(1), pages 137-153.
    16. Xiangyang Huang & LiGuo Huang, 2023. "Spreading Points Using Gradient and Tabu," SN Operations Research Forum, Springer, vol. 4(2), pages 1-11, June.
    17. Edwin Dam & Bart Husslage & Dick Hertog, 2010. "One-dimensional nested maximin designs," Journal of Global Optimization, Springer, vol. 46(2), pages 287-306, February.
    18. Hinostroza, Ignacio & Pradenas, Lorena & Parada, Víctor, 2013. "Board cutting from logs: Optimal and heuristic approaches for the problem of packing rectangles in a circle," International Journal of Production Economics, Elsevier, vol. 145(2), pages 541-546.
    19. T N Wong & P S Chow & D Sculli, 2006. "A heuristic for sea-freight container selection, cargo allocation and cargo orientation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(12), pages 1452-1463, December.
    20. Mustafa Çağlayan & János Pintér, 2013. "Development and calibration of a currency trading strategy using global optimization," Journal of Global Optimization, Springer, vol. 56(2), pages 353-371, June.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:epw:ejece0:v:6:y:2022:i:1:id:19387. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejece .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.