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Journal of EngineeringVolume 2013 2013, Article ID 959430, 16 pages

Research Article

Electronics and Communication Engineering Department, Delhi College of Engineering, India

Electrical Engineering Department, IIT Delhi, India

Received 22 August 2012; Revised 22 March 2013; Accepted 14 April 2013

Academic Editor: Piero Castoldi

Copyright © 2013 Indu Sreedevi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Nature offers several examples of self-organizingsystems that automatically adjust to changing conditions withoutadversely affecting the system goals. We propose a self-organizingsensor network that is inspired from real-life systems for sampling a region in an energy-efficient manner. Mobilenodes in our network execute certain rules by processing local information. These rules enable the nodes to divide the sampling task in a manner such that the nodes self-organize themselves to reduce the total power consumed and improve the accuracy with which the phenomena are sampled. The digital hormone-based model that encapsulates these rules, provides a theoretical framework for examining this class of systems. This model has been simulated and implemented on cricket motes. Our results indicate that the model is more effective than a conventional model with a fixed rate sampling.

Author: Indu Sreedevi, Shubham Mankhand, Santanu Chaudhury, and Asok Bhattacharyya



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