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Vol. 156, Issue 9, September 2013, pp. 144-149




Real-Time Surveillance Performance under Different Sensing Models in Duty-Cycled Sensor Networks
Yanjun Li

School of Computer Science and Technology, Zhejiang University of Technology, 288 Liuhe Road, Hangzhou 310023, China
Tel.: +86-571-85290527, Fax: +86-571-85290668
E-mail: yjli@zjut.edu.cn


Received: 28 May 2013   /Accepted: 25 August 2013   /Published: 30 September 2013

Digital Sensors and Sensor Sysstems


Abstract: In this paper, we derive closed-form expressions to describe the relationship between the surveillance quality and system parameters under different real-time requirements and arbitrary sensing models, where the surveillance quality is represented by real-time intrusion detection probability and the system parameters are represented by duty cycle factors and node density. Various sensing models are adopted in the numerical simulations, including Boolean disk model, exponential model, power-law model, staircase model and anisotropic model, to validate the analytical closed-form results. It is shown that under all these sensing models adopted, the numerical results always closely matches the analytical ones, which soundly verifies the correctness of our derivation.


Keywords: Real-Time, Sensing Model, Duty-Cycle, Sensor Networks.


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