An Efficient Probability of Detection Model for Wireless Sensor Networks
In the wireless sensor networks, probability of detection is a challenging task. There are various factors like coverage area, node density and efficiency of the sensors affecting the performance. In this paper, we proposed efficient intruder detection al
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Abstract In the wireless sensor networks, probability of detection is a challenging task. There are various factors like coverage area, node density and efficiency of the sensors affecting the performance. In this paper, we proposed efficient intruder detection algorithms in a wireless sensor network. We developed a mathematical expression for the sensing range, node density and other required parameters and it is useful for any designer to predict the detection probability. We used homogeneous network environment with uniform distribution of sensor nodes to find the detection probability. We evaluated the proposed detection probability methods in both single-sensing and multi-sensing scenarios and observed that the results are satisfactory.
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Keywords Wireless sensor Intruder detection Network topology Degree of coverage
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⋅ Single sensing ⋅ Node density ⋅
S. Kilaru (✉) BVRIT Hyderabad College of Engineering for Women, Hyderabad, India e-mail: [email protected] S. Lakshmanachari ⋅ P.K. Kishore ⋅ B. Surendra ⋅ T. Vishnuvardhan Institute of Aeronautical Engineering, Hyderabad, India e-mail: [email protected] P.K. Kishore e-mail: [email protected] B. Surendra e-mail: [email protected] T. Vishnuvardhan e-mail: [email protected] © Springer Science+Business Media Singapore 2017 S.C. Satapathy et al. (eds.), Proceedings of the First International Conference on Computational Intelligence and Informatics, Advances in Intelligent Systems and Computing 507, DOI 10.1007/978-981-10-2471-9_56
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1 Introduction Technical advancements in wireless communication system design and advancements in microprocessor technology created sensor nodes. The communication between these nodes made possible to design wireless sensor network. Now, the current research is focusing on intelligent wireless sensor networks (WSN). The function of these intelligent sensor networks includes monitoring, controlling and surveillance. In this method, each sensor senses the information based on its physical design and forwards the collected data to the assigned user terminal. This paper focused on the methodology to find the intruder in the defined area using surveillance sensor nodes. For this application, traditional characterization of WSN is not suitable and hence there is a need to configure in customized application. We considered homogeneous network to place the sensors by considering various parameters like sensing range, density of the sensors and field of interest. Any unauthorized person can identified using the single-sensor node or multi-sensor nodes. Several works on this issue were carried previously, but there exists a problem with respect to coverage. In [1–3] the authors proposed an efficient way to use WSN to track and monitor for surveillance applications. Some works were focused on finding the expression to quantify the coverage enhancing the deployment quality [4, 5] and they related coverage analysis with quality of service. To mitigate the problems in coverage problems, severa
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