Nature-Inspired-Algorithms-Based Cellular Location Management: Scope and Applications

View Sample PDF

Author(s): Swati Swayamsiddha (Indian Institute of Technology Kharagpur, India), Chetna Singhal (Indian Institute of Technology Kharagpur, India)and Rajarshi Roy (Indian Institute of Technology Kharagpur, India)
Copyright: 2018
Pages: 17
Source title: Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms
Source Author(s)/Editor(s): Sujata Dash (North Orissa University, India), B.K. Tripathy (VIT University, India)and Atta ur Rahman (University of Dammam, Saudi Arabia)
DOI: 10.4018/978-1-5225-2857-9.ch017

Keywords: Artificial Intelligence / Biologically-Inspired Computing / Information Science Reference / Medicine & Healthcare

Purchase

View Nature-Inspired-Algorithms-Based Cellular Location Management: Scope and Applications on the publisher's website for pricing and purchasing information.

Abstract

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.

The IRMA Community

Research IRM

Nature-Inspired-Algorithms-Based Cellular Location Management: Scope and Applications

Purchase

Abstract

Related Content

IRMA Sponsors