Bio-Inspired Algorithms for Mobile Location Management—A New Paradigm

Author(s):  
Swati Swayamsiddha ◽  
Smita Parija ◽  
Sudhansu Sekhar Singh ◽  
Prasanna Kumar Sahu
Author(s):  
Swati Swayamsiddha ◽  
Chetna Singhal ◽  
Rajarshi Roy

Nature-Inspired algorithms have gained relevance particularly for solving complex optimization problems in engineering domain. An overview of implementation modeling of the established algorithms to newly developed algorithms is outlined. Mobile location management has vital importance in wireless cellular communication and can be viewed as an optimization problem. It has two aspects: location update and paging where the objective is to reduce the overall cost incurred corresponding to these two operations. The potential application of the Nature-Inspired algorithms to mobile location management is studied. Many such algorithms are recently being explored along with incremental modifications to the existing techniques. Finally, analysis and insights highlight the further scopes of the Nature-Inspired algorithms to mobile location management application.


2011 ◽  
Vol 11 (1) ◽  
pp. 410-427 ◽  
Author(s):  
Sónia M. Almeida-Luz ◽  
Miguel A. Vega-Rodríguez ◽  
Juan A. Gómez-Púlido ◽  
Juan M. Sánchez-Pérez

1997 ◽  
Vol 15 (8) ◽  
pp. 1437-1454 ◽  
Author(s):  
M. Veeraraghavan ◽  
G. Dommety

2007 ◽  
Vol 30 (4) ◽  
pp. 714-730 ◽  
Author(s):  
Javid Taheri ◽  
Albert Y. Zomaya

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Dan Wang ◽  
Congcong Xiong ◽  
Wei Huang

We propose a diversity-guided group search optimizer-based approach for solving the location management problem in mobile computing. The location management problem, which is to find the optimal network configurations of management under the mobile computing environment, is considered here as an optimization problem. The proposed diversity-guided group search optimizer algorithm is realized with the aid of diversity operator, which helps alleviate the premature convergence problem of group search optimizer algorithm, a successful optimization algorithm inspired by the animal behavior. To address the location management problem, diversity-guided group search optimizer algorithm is exploited to optimize network configurations of management by minimizing the sum of location update cost and location paging cost. Experimental results illustrate the effectiveness of the proposed approach.


2000 ◽  
Vol 179 ◽  
pp. 177-183
Author(s):  
D. M. Rust

AbstractSolar filaments are discussed in terms of two contrasting paradigms. The standard paradigm is that filaments are formed by condensation of coronal plasma into magnetic fields that are twisted or dimpled as a consequence of motions of the fields’ sources in the photosphere. According to a new paradigm, filaments form in rising, twisted flux ropes and are a necessary intermediate stage in the transfer to interplanetary space of dynamo-generated magnetic flux. It is argued that the accumulation of magnetic helicity in filaments and their coronal surroundings leads to filament eruptions and coronal mass ejections. These ejections relieve the Sun of the flux generated by the dynamo and make way for the flux of the next cycle.


Sign in / Sign up

Export Citation Format

Share Document