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International Conference on Complex Systems (ICCS2006)

Preferential Detachment: Improving Connectivity and Cost Trade-offs in Signaling Networks

May Lim
NECSI and Brandeis University

Dan Braha
NECSI and University of Massachusetts Dartmouth

Sanith Wijesinghe
NECSI

Stephenson Tucker
Sandia National Laboratory

Yaneer Bar-Yam
NECSI

     Full text: Not available
     Last modified: April 24, 2006

Abstract
We introduce a distributed, non-hierarchical adaptive method for significantly improving network transmission and connectivity in a signaling network of autonomous nodes with distance-dependent links. Using the framework of multihop wireless networks, we achieve preferential detachment of links in regions of high node density through an adaptive algorithm that selectively decreases an individual node’s broadcast radius. Due to fewer incoming links, more simultaneous signals are tolerated by the network, thus offsetting the increase in path length. With cost savings as high as 90% for various spatial topologies requiring full internodal communication, our method highlights the role of self-adjusting node transmission power not only in minimizing simultaneous signaling, but also in minimizing overall power consumption.




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