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A double herd krill based algorithm for location area optimization in mobile wireless cellular network.

作者信息

Vincylloyd F, Anand B

机构信息

RVS Technical Campus, Coimbatore 641 402, India.

Hindusthan College of Engineering and Technology, Coimbatore 641 032, India.

出版信息

ScientificWorldJournal. 2015;2015:475806. doi: 10.1155/2015/475806. Epub 2015 Mar 23.

Abstract

In wireless communication systems, mobility tracking deals with determining a mobile subscriber (MS) covering the area serviced by the wireless network. Tracking a mobile subscriber is governed by the two fundamental components called location updating (LU) and paging. This paper presents a novel hybrid method using a krill herd algorithm designed to optimize the location area (LA) within available spectrum such that total network cost, comprising location update (LU) cost and cost for paging, is minimized without compromise. Based on various mobility patterns of users and network architecture, the design of the LR area is formulated as a combinatorial optimization problem. Numerical results indicate that the proposed model provides a more accurate update boundary in real environment than that derived from a hexagonal cell configuration with a random walk movement pattern. The proposed model allows the network to maintain a better balance between the processing incurred due to location update and the radio bandwidth utilized for paging between call arrivals.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbb5/4386642/5e5931cbd54a/TSWJ2015-475806.002.jpg

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