Title
Self-Organization Of Very Large Sensor Networks Based On Small-Worlds Principles
Abstract
We study networks consisting of a very large number of tiny and inexpensive sensors and introduce SWAS (Small-Worlds of Anonymous Sensors), an algorithm combining self-organization based upon small-worlds principles and Medium Access Control based upon a stack protocol for VLSNs and we report on a preliminary study of the algorithm. The nodes of Very Large Sensor Networks (VLSN) have limited resources; to reduce the power consumption the processor is less powerful and the amount of storage available is smaller than those of traditional sensor networks. Moreover, the nodes are indistinguishable from one another; they do not have a physical address, as required by the traditional communication protocols. VLSNs mimic biological systems where individual cells of the same type are indistinguishable. Small-worlds networks [11] combine two desirable features of networks namely high clustering and small path length. © 2009 IEEE.
Publication Date
12-1-2009
Publication Title
SASO 2009 - 3rd IEEE International Conference on Self-Adaptive and Self-Organizing Systems
Number of Pages
115-125
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/SASO.2009.28
Copyright Status
Unknown
Socpus ID
73649083733 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/73649083733
STARS Citation
Marinescu, Dan C.; Yu, Chen; and Marinescu, Gabriela M., "Self-Organization Of Very Large Sensor Networks Based On Small-Worlds Principles" (2009). Scopus Export 2000s. 11458.
https://stars.library.ucf.edu/scopus2000/11458