Version 1
: Received: 24 May 2018 / Approved: 24 May 2018 / Online: 24 May 2018 (10:02:14 CEST)
How to cite:
Biswash, S.K.; Sarkar, M.; Sharma, D.K. Artificial Immune System (AIS)-Based Location Management Scheme in Mobile Cellular Networks. Preprints2018, 2018050346. https://doi.org/10.20944/preprints201805.0346.v1
Biswash, S.K.; Sarkar, M.; Sharma, D.K. Artificial Immune System (AIS)-Based Location Management Scheme in Mobile Cellular Networks. Preprints 2018, 2018050346. https://doi.org/10.20944/preprints201805.0346.v1
Biswash, S.K.; Sarkar, M.; Sharma, D.K. Artificial Immune System (AIS)-Based Location Management Scheme in Mobile Cellular Networks. Preprints2018, 2018050346. https://doi.org/10.20944/preprints201805.0346.v1
APA Style
Biswash, S.K., Sarkar, M., & Sharma, D.K. (2018). Artificial Immune System (AIS)-Based Location Management Scheme in Mobile Cellular Networks. Preprints. https://doi.org/10.20944/preprints201805.0346.v1
Chicago/Turabian Style
Biswash, S.K., Mahasweta Sarkar and Dhirendra Kumar Sharma. 2018 "Artificial Immune System (AIS)-Based Location Management Scheme in Mobile Cellular Networks" Preprints. https://doi.org/10.20944/preprints201805.0346.v1
Abstract
In this paper, we are proposing a bio-inspired location management (LM) technique for personal communication system (PSC). It is based on artificial immune system (AIS), with self-adaptation and self-updates attributes in order to perform the location management, and work helps to achieve the better quality of service (QoS) and quality of experience (QoE) for the mobile users. Here, we are suggesting a modified mobile switching center (MSC) architecture, and an adaptive self-modified location management procedure. The proposed mobile switching centre architecture has an advantage of rule-based and fact-based system to store the rules and fact related to location management procedure, and it shows the intelligent behavior of system. The mobile switching centre calculates the best method for location management and rule-base system trigged the rules to perform the techniques. The system stores the result (techniques for location management) in fact-base system for future use. The efficiency and effectiveness of the proposed techniques been analyzed, and it observed that the proposed system has 45-50% improvement in performance over the current location management techniques. Here, we are taking the performance parameters such as signaling cost, database update cost, overhead measurement, mobility management cost.
Keywords
artificial immune system; cellular networks; personal communication system; location management; mobility management
Subject
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
