Techniques for Improving Opportunistic Sensor Networking Performance

  • Authors:
  • Shane B. Eisenman;Nicholas D. Lane;Andrew T. Campbell

  • Affiliations:
  • Columbia University, New York, USA NY 10027;Dartmouth College, Hanover, USA NH 03755;Dartmouth College, Hanover, USA NH 03755

  • Venue:
  • DCOSS '08 Proceedings of the 4th IEEE international conference on Distributed Computing in Sensor Systems
  • Year:
  • 2008

Quantified Score

Hi-index 0.03

Visualization

Abstract

A number of recently proposed mobile sensor network architectures rely on uncontrolled, or weakly-controlled mobility to achieve sensing coverage over time at low cost, an opportunistic sensor networking approach. However, this reliance on mobility also introduces a number of challenges. In this paper, we discuss the challenges inherent in this networking paradigm, and describe two composable techniques, sensor sharing and substitution, to make the system more robust in terms of data fidelity and delay. We present a numerical analysis of these techniques, separately and in combination, based on a simple Markov model of an opportunistic sensor network.