Title :
A simple method to reach detection consensus in massively distributed sensor networks
Author :
Hong, Yao-Win ; Cheow, Lih Feng ; Scaglione, Anna
Author_Institution :
Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
fDate :
27 June-2 July 2004
Abstract :
A bio-inspired distributed detection protocol is proposed where the synchronization of pulsing devices is used to reach a consensus in the decision among sensor nodes. Each node encodes the local decision into their pulsing time and reaches an agreement when the pulsing instants converge to a common value. The protocol has low complexity and scales favorably with the size of the network. In fact, we prove that the probability of detection asymptotically goes to 1 as the number of sensors goes to infinity.
Keywords :
distributed sensors; encoding; probability; protocols; synchronisation; bio-inspired distributed detection protocol; coding function; detection consensus; detection probability; local decision; massively distributed sensor networks; pulsing devices; synchronization; Biology computing; Biosensors; Computer networks; Distributed computing; H infinity control; Intelligent networks; Oscillators; Protocols; Routing; Wireless sensor networks;
Conference_Titel :
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
Print_ISBN :
0-7803-8280-3
DOI :
10.1109/ISIT.2004.1365288