Multi-Objective Vertical Hand-off Mechanism

Test-bed deployments for both indoor and outdoor experiments (red circles denote destination devices)

My Role

Designed the test-bed study, developed an android application, analyzed data, published a full paper.
Year: 2014-2015 | Collaborators: Novia Nurain, Hafsa Zannat, Monira Akter, Dr. Alim Al Islam | Bangladesh University of Engineering and Technology (BUET).


Description

Ubiquitous heterogeneous wireless networks demand a general-purpose multi-objective vertical hand-off mechanism taking into account network dynamics as one of its decision attributes. This goal of this project was to propose a new multi-objective vertical hand-off (MOVH) mechanism that takes into account network dynamics as one of its decision attributes. We customize Multi-Objective Genetic Algorithm (MOGA) in this regard and evaluate the performance of MOVH mechanism against two most popular alternatives: GRA and TOPSIS. This evaluation comprises of both test-bed experiments and ns-2 simulation. For the test-bed experiment I have developed an Android application which selects the best target network among the existing networks using the three mechanisms: MOVH, GRA and TOPSIS and compared their performance. The results from both test-bed experiments and ns-2 simulation demonstrate that MOVH mechanism has significant performance improvement over both GRA and TOPSIS.


For more details, please download the paper at: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7348047&tag=1


Contact

Taslima Akter

700 N Woodlawn Ave

Bloomington, Indiana, 47408

Email: takter@iu.edu

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