Title :
High Performance Sleep-Wake Sensor Systems Based on Cyclic Cellular Automata
Author :
Baryshnikov, Y.M. ; Coffman, E.G. ; Kwak, K.J.
Author_Institution :
Bell Labs., Murray Hill, NJ
Abstract :
Our contribution in this paper is a scalable, easily implemented, self-organizing, energy conserving intruder- 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 even in the case of frequent communication failures, sensor failures, large obstacles, and when intruders know sensor locations.
Keywords :
cellular automata; wireless sensor networks; cellular automata theory; cyclic cellular automata; energy conserving intruder-detection sensor system; high performance sleep-wake sensor systems; self-organizing intruder-detection sensor system; wireless sensor networks; Automata; Biological system modeling; Costs; Event detection; Logic; Performance loss; Protocols; Sensor phenomena and characterization; Sensor systems; Wireless sensor networks; Sleep schedule; cyclic cellular automata; intruder detection; self-organizing;
Conference_Titel :
Information Processing in Sensor Networks, 2008. IPSN '08. International Conference on
Conference_Location :
St. Louis, MO
Print_ISBN :
978-0-7695-3157-1
DOI :
10.1109/IPSN.2008.14
