Swati Swayamsiddha

Work place: School of Electronics Engineering, KIIT University, Bhubaneswar, Odisha, India

E-mail: swayamsiddhafet@kiit.ac.in

Website:

Research Interests: Computer Networks, Evolutionary Computation, Computer systems and computational processes, Data Structures and Algorithms

Biography

Swati Swayamsiddha is working as Assistant Professor in School of Electronics Engineering, KIIT University, Bhubaneswar since 2009 and currently pursuing her Ph.D. Her research interests spans the area of mobile communications, adaptive signal processing, cognitive radio networks, nonlinear optimization, soft and evolutionary computing. She is a member of ISC and IET.

Author Articles
Optimal Reporting Cell Planning with Binary Differential Evolution Algorithm for Location Management Problem

By Swati Swayamsiddha Smita Parija Prasanna Kumar Sahu Sudhansu Sekhar Singh

DOI: https://doi.org/10.5815/ijisa.2017.04.03, Pub. Date: 8 Apr. 2017

This paper presents binary differential evolution based optimal reporting cell planning (RCP) for location management in wireless cellular networks. The significance of mobile location management (MLM) in wireless communication has evolved drastically due to tremendous rise in the number of mobile users with the constraint of limited bandwidth. The total location management cost involves signaling cost due to location registration and location search and a trade-off between these two gives optimal location management cost. The proposed binary differential evolution (BDE) algorithm is used to determine the optimal reporting cell planning configuration such that the overall mobility management cost is minimized. Evidently, from the simulation result the proposed technique works well for the reference networks in terms of optimal cost and convergence speed. Further the applicability of the BDE is also validated for the realistic network of BSNL (Bharat Sanchar Nigam Limited), Odisha.

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