STATIC AND ADAPTIVE LOCATION MANAGEMENT IN MOBILE WIRELESS NETWORKS

Citation
P. Krishna et al., STATIC AND ADAPTIVE LOCATION MANAGEMENT IN MOBILE WIRELESS NETWORKS, Computer communications, 19(4), 1996, pp. 321-334
Citations number
18
Categorie Soggetti
Computer Sciences","Computer Science Hardware & Architecture","Computer Science Software Graphycs Programming
Journal title
ISSN journal
01403664
Volume
19
Issue
4
Year of publication
1996
Pages
321 - 334
Database
ISI
SICI code
0140-3664(1996)19:4<321:SAALMI>2.0.ZU;2-T
Abstract
Location management is one of the most important issues in mobile comp uting. Location management consists of location updates, searches and search-updates. An update occurs when a mobile host changes location. A search occurs when a host wants to communicate with a mobile host wh ose location is unknown to the requesting host. A search-update occurs after a successful search, when the location information correspondin g to the searched host is updated at some hosts. Various strategies ca n be designed for search, update and search-update. Static location ma nagement uses one fixed combination of search, update and search-updat e strategies. Simulations were carried out to evaluate the performance of different static location management strategies for various call-m obility patterns. It was noticed that performing search-updates signif icantly reduced the search costs without significantly increasing the cost of updates (upon moves and searches). To obtain good performance using static location management, the system designer should a priori have a fair idea of the call-mobility pattern of the users. Having thi s information, the system designer can select the combination which pe rforms best for the given call-mobility pattern. The host behavior (ca ll frequency, mobility) is not always available to the system designer . Thus, there is a need for adaptive location management. In this pape r we present a scheme for adaptive location management. The basic assu mption behind adaptive location management is that the past history of the system will reflect the behavior in the future. The adaptive sche me dynamically estimates the future host behavior with the help of the past call-mobility patterns. Results indicate that the adaptive schem e performs better than the static scheme for a wide range of call-mobi lity patterns.