Bio-Inspired Distributed Sensing Using a Self-Organizing Sensor Network
Nature offers several examples of self-organizing systems that automatically adjust to changing conditions without adversely affecting the system goals. We propose a self-organizing sensor network that is inspired from real-life systems for sampling a region in an energy-efficient manner. Mobile nod...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2013-01-01
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| Series: | Journal of Engineering |
| Online Access: | http://dx.doi.org/10.1155/2013/959430 |
| Summary: | Nature offers several examples of self-organizing
systems that automatically adjust to changing conditions without
adversely affecting the system goals. We propose a self-organizing
sensor network that is inspired from real-life systems for sampling a region in an energy-efficient manner. Mobile
nodes 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. |
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| ISSN: | 2314-4904 2314-4912 |