Mobile tracking using fuzzy multi-criteria decision making

  • Authors:
  • Soo Chang Kim;Jong Chan Lee;Yeon Seung Shin;Kyoung-Rok Cho

  • Affiliations:
  • Converged Access Network Research Team, ETRI, Korea;Dept. of Computer Information Science, Kunsan National Univ., Korea;Converged Access Network Research Team, ETRI, Korea;Dept. of Information & Comm. Eng., Chungbuk National Univ., Korea

  • Venue:
  • MSN'05 Proceedings of the First international conference on Mobile Ad-hoc and Sensor Networks
  • Year:
  • 2005

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Abstract

In the microcell- or picocell-based system the frequent movements of the mobile bring about excessive traffics into the networks. A mobile location estimation mechanism can facilitate both efficient resource allocation and better QoS provisioning through handoff optimization. In this study, we propose a novel mobile tracking method based on Multi-Criteria Decision Making (MCDM), in which uncertain parameters such as PSS (Pilot Signal Strength), the distance between the mobile and the base station, the moving direction, and the previous location are used in the decision process using the aggregation function in fuzzy set theory. Through numerical results, we show that our proposed mobile tracking method provides a better performance than the conventional method using the received signal strength.