Energy Aware Self-Organizing Density Management in Wireless Sensor Networks

Computer Science – Distributed – Parallel – and Cluster Computing

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

Energy consumption is the most important factor that determines sensor node lifetime. The optimization of wireless sensor network lifetime targets not only the reduction of energy consumption of a single sensor node but also the extension of the entire network lifetime. We propose a simple and adaptive energy-conserving topology management scheme, called SAND (Self-Organizing Active Node Density). SAND is fully decentralized and relies on a distributed probing approach and on the redundancy resolution of sensors for energy optimizations, while preserving the data forwarding and sensing capabilities of the network. We present the SAND's algorithm, its analysis of convergence, and simulation results. Simulation results show that, though slightly increasing path lengths from sensor to sink nodes, the proposed scheme improves significantly the network lifetime for different neighborhood densities degrees, while preserving both sensing and routing fidelity.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Energy Aware Self-Organizing Density Management in Wireless Sensor Networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Energy Aware Self-Organizing Density Management in Wireless Sensor Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Energy Aware Self-Organizing Density Management in Wireless Sensor Networks will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-45341

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.