The crossroads approach to information discovery in wireless sensor networks

  • Authors:

  • Robin Doss;Gang Li;Shui Yu;Vicky Mak;Morshed Chowdhury

  • Affiliations:

  • School of Engineering and Information Technology, Deakin University, VIC, Australia;School of Engineering and Information Technology, Deakin University, VIC, Australia;School of Engineering and Information Technology, Deakin University, VIC, Australia;School of Engineering and Information Technology, Deakin University, VIC, Australia;School of Engineering and Information Technology, Deakin University, VIC, Australia

  • Venue:
  • ICDCN'08 Proceedings of the 9th international conference on Distributed computing and networking
  • Year:
  • 2008

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Abstract

Wireless sensor networks (WSN) are attractive for information gathering in large-scale data rich environments. In order to fully exploit the data gathering and dissemination capabilities of these networks, energy-efficient and scalable solutions for data storage and information discovery are essential. In this paper, we formulate the information discovery problem as a load-balancing problem, with the combined aim being to maximize network lifetime and minimize query processing delay resulting in QoS improvements. We propose a novel information storage and distribution mechanism that takes into account the residual energy levels in individual sensors. Further, we propose a hybrid push-pull strategy that enables fast response to information discovery queries. Simulations results prove the proposed method(s) of information discovery offer significant QoS benefits for global as well as individual queries in comparison to previous approaches.