This thesis describes a means for performing complex event detection at a single sensor node of a wireless sensor network (WSN) by interfacing a low-power mixed signal Programmable System on Chip (PSoC) to a MICA2 wireless sensor node. The proposed system helps to reduce the overall power consumption of the node, by lending it the advance computational capability to process a significant amount of data at the node rather than transmitting it. This allows the node to "intelligently" monitor a signal for impending events instead of transmitting the "raw" signal to the base constantly. Previous work by others has indicated that lowering the transmission data rate lowers the high cost of transmission power ,  in a node thereby lengthening the node life and, ultimately, increasing the reliability of the network .
This work implements a threshold technique which controls the data transmission rate depending on the value of the monitored signal and a cardiac monitoring system that performs complex computations at the node for the detection of either a skipped heart beat or a reduced Heart Rate Variability (HRV) whereupon the relevant unprocessed signal is transmitted to the base station for direct observation. A performance analysis of the system demonstrates that there is a reduction in the power consumption of the overall sensor node and a significant reduction in data transmission rate which also results in a reduction of the overall network traffic and congestion.
Library of Congress Subject Headings
Wireless sensor networks; Wireless LANs; Systems on a chip
Computer Engineering (MS)
Department, Program, or Center
Computer Engineering (KGCOE)
Lakdawala, Shruti, "A Low-Power Interface Design for Intelligent Sensor Nodes Utilized in Wireless Sensor Networks" (2006). Thesis. Rochester Institute of Technology. Accessed from
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