Resource determination and allocation in sensor networks: a hybrid approach

Murat Sensoy (Corresponding Author), Thao Le, Wamberto W Vasconcelos, Timothy J Norman, Alun D Preece

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Many organizations depend on critical sensory information to achieve their tasks. As the number of those tasks increases, efficient determination and allocation of required resources in sensor networks become crucial. In this paper, we propose means to describe tasks semantically with their requirements and constraints so that software agents can reason about those tasks and determine what type of sensor resources they may need. Based on the semantic description and reasoning mechanisms, we propose a distributed agent-based approach to efficiently allocate sensor resources to tasks. Our evaluation of the proposed approach shows that not only it enables fully automated determination and allocation of resources for tasks, but also the resulting allocation is efficient and close to optimum.
Original languageEnglish
Pages (from-to)356-372
Number of pages17
JournalThe Computer Journal
Volume54
Issue number3
Early online date22 Feb 2010
DOIs
Publication statusPublished - 3 Mar 2011

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Keywords

  • sensor networks
  • semantic web
  • resource allocation
  • multiagent systems

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