High Performance Sleep-Wake Sensor Systems Based on Cyclic Cellular Automata

Our contribution in this paper is a scalable, easily implemented, self-organizing, energy conserving intrusion-detection sensor system applying concepts from cellular automata theory. The system self-assembles periodic wake-sensor barriers (waves) that sweep the sensor field; it is highly effective...

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Bibliographic Details
Published in:	Information Processing in Sensor Networks; Proceedings: International Conference on Information Processing in Sensor Networks, 2008: St. Louis, MO pp. 517 - 526
Main Authors:	Baryshnikov, Y. M., Coffman, E. G., Kwak, K. J.
Format:	Conference Proceeding
Language:	English
Published:	Washington, DC, USA IEEE Computer Society 22.04.2008 IEEE
Series:	ACM Conferences
Subjects:	Automata Biological system modeling Computer systems organization > Architectures > Parallel architectures > Cellular architectures Computer systems organization > Dependable and fault-tolerant systems and networks Costs cyclic cellular automata Event detection General and reference > Cross-computing tools and techniques > Performance Hardware > Communication hardware, interfaces and storage > Signal processing systems Hardware > Emerging technologies > Quantum technologies > Quantum dots and cellular automata intruder detection Logic Networks > Network performance evaluation Performance loss Protocols self-organizing Sensor phenomena and characterization Sensor systems Sleep schedule Theory of computation > Models of computation Wireless sensor networks self-organizing cyclic cellular automata intruder detection Sleep schedule
ISBN:	9780769531571, 0769531571
Online Access:	Get full text
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