A Distributed Border Surveillance (DBS) System for Rectangular and Circular Region of Interest with Wireless Sensor Netw
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A Distributed Border Surveillance (DBS) System for Rectangular and Circular Region of Interest with Wireless Sensor Networks in Shadowed Environments J. Amutha1 · Jaiprakash Nagar2 · Sandeep Sharma1 Accepted: 5 November 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Border surveillance is indeed one of the most pertinent applications of wireless sensor networks, primarily used for security purposes such as intrusion detection in border regions or protected areas. In order to detect unauthorized access or penetration through the region of interest, sensor nodes are deployed to form barriers, that acts as the performance metric of wireless sensor networks. In this paper, a Distributed Border Surveillance (DBS) system incorporating shadowing effects is proposed for a wireless sensor network deployed in a rectangular region of interest. The DBS system evaluates the number of required barriers to monitor the given region and conserves energy. Besides, a log-normal shadowing model is considered, which incorporates the asymmetry in sensing range along with the stochastic nature of wireless channels. The performance of the proposed DBS system is analyzed based on the number of barriers obtained. Then, the impact of various network and system parameters such as the number of nodes, sensing range of nodes, height and width of the network region on the number of barriers obtained in a rectangular region are analyzed. The same approach is extended for a circular region of interest in terms of sensing range of nodes. The proposed system is implemented in NS-2.35 simulator, and it is found that the performance of the proposed DBS system is 75% better than the existing binary sensing range model-based DBS system. Keywords Wireless sensor networks · Border surveillance · Barrier coverage · Binary sensing · Lognormal shadowing
* Sandeep Sharma [email protected] J. Amutha [email protected] Jaiprakash Nagar [email protected] 1
School of Information and Communication Technology, Gautam Buddha University (GBU), Greater Noida, Uttar Pradesh 201312, India
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Subir Chowdhury School of Quality and Reliability, Indian Institute of Technology (IIT) Kharagpur, Kharagpur, West Bengal 721302, India
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1 Introduction Wireless sensor networks (WSNs) have drawn tremendous attention over the last few years in the field of research and industry. The key reason for this rapid development is their potential applications in various situations such as in border surveillance systems, military operations, space exploration, health care, agriculture, environmental monitoring, and public safety [1–4]. Such applications involve a vast number of deployed sensor nodes to monitor a particular Region of Interest (RoI). These nodes work independently and collaboratively to monitor different ambient conditions, including sound, humidity, and temperature [3, 5]. Besides, it can also sense the environment, collect data, and performs the appropriate data communication and
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