A Device Search Strategy Based on Connections History for Patient Monitoring

  • Authors:
  • José-Alfredo Abad;Juan-Luis Gorricho

  • Affiliations:
  • Facultad de Ingeniería, UABC, México and Departamento de Telemática, UPC, España;Departamento de Telemática, UPC, España

  • Venue:
  • IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
  • Year:
  • 2009

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Abstract

Ambient Assisted Living provides support for people's daily life and aims at improving their quality of life. A health monitoring service could be intended to address the needs of sick people. Patient monitoring by medical personnel is frequently supported by handheld devices receiving health-care information. Location of these mobile devices is necessary in order to communicate any information, and the search strategy to locate them becomes a challenging issue in comparison to networks with permanent connections. We address this problem from an application point of view considering a membership based communication system characterized by users following repetitive patrol patterns day after day. We identify these patterns to generate a history of network connections to decrease the time required to locate any device on the network. We propose a modification of the commonly used Random Walk strategy to setup new connections on ad-hoc networks taking advantage of the learned patrol patterns.