Location management techniques for mobile systems

[ptt3i]

Locating users in mobile environment is an essential problem in PCS that becomes more challenging as the network size increases and the user population grows. In third generation mobile systems, the signaling traffic and processing overhead of location updates is expected to grow tremendously leading to poor performance. Therefore location management schemes should aim at reducing the cost of updates.

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Location management techniques for mobile systems





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Amal Elnahas, and Noha Adly

Faculty of Engineering, Computer Science Department, Alexandria University, 21544, Alexandria, Egypt


Received 1 January 2000;
revised 23 June 2000;
accepted 23 September 2000. ;
Available online 19 December 2000.

Abstract

Locating users in mobile environment is an essential problem in PCS that becomes more challenging as the network size increases and the user population grows. In third generation mobile systems, the signaling traffic and processing overhead of location updates is expected to grow tremendously leading to poor performance. Therefore location management schemes should aim at reducing the cost of updates. Yet, the lookup delay should be kept minimum. This paper aims at classifying the various approaches used for location management of mobile users by grouping them into two main categories. The first category comprises techniques that focused on reducing the cost of looking up a user and adjusted the update process accordingly. These are classified into replication, caching and selective paging techniques. The second category consists of techniques that focused on reducing the cost of updates and maneuvered the update policy to reduce the lookup cost by informing the system with the maximum possible information about user's mobility. This could be achieved by the use of statistic collection, estimation or prediction processes. We classify those schemes into three main classes: schemes based on forwarding pointers, learning-based schemes and prediction-based schemes. By investigating the technical significance of each class a new direction for future research is proposed which favors the second category of location techniques and emphasis the importance of adopting suitable learning and prediction techniques to optimize the overall location cost.


Article Outline

1. Introduction2. System model3. Lookup and paging techniques3.1. Replication3.1.1. Working set replication3.1.2. User profile replication3.1.3. Hierarchical replication3.2. Caching3.2.1. Caching in two-tier architecture3.2.2. Caching in hierarchical architecture3.3. Selective paging techniques3.3.1. Selective paging given the location probability3.3.2. Selective paging using geographical information3.3.3. Selective paging using mobility information4. Location update techniques4.1. Forwarding pointers techniques4.2. Learning-based techniques4.3. Prediction based techniques4.3.1. Location management4.3.2. Resource reservation5. ConclusionReferences


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Corresponding author. Tel.: +20-203-582-4477; fax: +20-203-492-8200

Information Sciences
Volume 130, Issues 1-4, December 2000, Pages 1-22

[ptt3i]

Please identify the file and confirm whether it is the Elsevier paper as described below:
Location management techniques for mobile

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