Directional Controlled Fusion in Wireless Sensor Networks

  • Authors:

  • Min Chen;Victor C. Leung;Shiwen Mao

  • Affiliations:

  • Department of Electrical & Computer Engineering, University of British Columbia, Vancouver, Canada V6T 1Z4;Department of Electrical & Computer Engineering, University of British Columbia, Vancouver, Canada V6T 1Z4;Department of Electrical & Computer Engineering, Auburn University, Auburn, USA 36849-5201

  • Venue:
  • Mobile Networks and Applications
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Though data redundancy can be eliminated at aggregation point to reduce the amount of sensory data transmission, it introduces new challenges due to multiple flows competing for the limited bandwidth in the vicinity of the aggregation point. On the other hand, waiting for multiple flows to arrive at a centralized node for aggregation not only uses precious memory to store these flows but also increases the delays of sensory data delivery. While traditional aggregation schemes can be characterized as "multipath converging," this paper proposes the notation of "multipath expanding" to solve the above problems by jointly considering data fusion and load balancing. We propose a novel directional-controlled fusion (DCF) scheme, consisting of two key algorithms termed as directional control and multipath fusion. By adjusting a key parameter named multipath fusion factor in DCF, the trade-offs between multipath-converging and multipath-expanding can be easily achieved, in order to satisfy specific QoS requirements from various applications. We present simulations that verify the effectiveness of the proposed scheme.