A Simulation Study of the Effectiveness of the Self-healing Autonomous Sensor Network for Early Warning Detection


  1. Waller, D.
Corporate Authors
Defence R&D Canada - Centre for Operational Research and Analysis, Ottawa ON (CAN)
The Self-healing Autonomous Sensor Network (SASNet) Technology Demonstration project will demonstrate an ad-hoc wireless network of heterogenous, unattended ground sensors (UGS) that can be rapidly deployed to perform remote surveillance for the Canadian Army. In late 2008, the first of three annual SASNet trials will demonstrate the ability of the system to conduct early warning detection. This memorandum reports on a simulation study of the effectiveness and suitability of SASNet for this type of scenario. The key variables of the system that are investigated are (1) the probability of detecting targets crossing the instrumented barrier, (2) the rate of false alarms, (3) the delay between a target being detected and an alarm being received by an operator, (4) the time to deploy the system, and (5) the cost. These variables were optimized with a simulated annealing algorithm. The optimal values are investigated as a function of the length of the early warning barrier. Under the current assumptions of cost and performance for SASNet’s components, it is shown that SASNet is suitable for early warning detection along barriers that are up to one kilometre in length. This is a significant improvement over the UGS that is currently used by the Canadian Army.

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Report Number
DRDC-CORA-TM-2009-019 — Technical Memorandum
Date of publication
01 Jul 2009
Number of Pages
Electronic Document(PDF)

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