Design and Implementation of Fuzzy Event-detection Algorithm for Border Monitoring on FPGA

Abstract

The use of wireless sensor networks to protect sensitive facilities or international borders has recently attracted more and more attention. It has become a highpriority issue in many countries. In addition to the physical fences built for stopping illegal intruders from crossing the border, smart fencing has been proposed to extend intrusion-detection capabilities. Event detection is a central component in numerous wireless sensor network applications. In spite of this, the area of event description has not received enough attention. The majority of current event description approaches rely on using precise values to specify event thresholds. However, these crisp values cannot adequately handle the imprecise sensor readings. Therefore, in this paper, a hybrid event-detection algorithm based on two layers of 12-bit-resolution fuzzy logic system is used, which significantly improves the accuracy of event detection. Each sensor node has sensors to improve the precision of the detection system, as well as reducing the false alarm rate especially in a noisy environment. The proposed system was modeled using Matlab and designed using VHDL. The proposed system's VHDL code has been compared with the Matlab model, which provided very close results to this software-based controller model, and also with two other VHDL-based designs, results of which are also close and comparable to the proposed system. The proposed design is then implemented using a FPGA kit, and the prototype is connected to a graphical user interface. Finally, a testing experiment of this proposed system shows an event-detection ratio capability of 98.4 % and the false alarm ratio of 1.6 %.

Segregated FLS Processing Cores for V/STOL Autonomous Landing Guidance Assistant System Using FPGA

“…We could observe that the proposed ALGAS2 system is consuming more dynamic power than Ref. [27,[29][30] and less than the value achieved in Ref. [7].…”

“…The proposed ALGAS2 system is mainly depends on the FLS engine to gain its agility and sustainable performance. Thus, we compared the achieved performance of it with similar FLS-based systems such as in [7,27,29,30] as depicted in Table2. We could observe that the proposed ALGAS2 system is consuming more dynamic power than Ref.…”

Design and experimental implementation of monitoring system in wireless sensor networks

“…An implementation of fuzzy logic on FPGA has been proposed in [16]. Synthesis results show that the maximum reached frequency is 75 MHz, and total power used for this implementation is equal to 100.64 mW.…”

“…However, the redundant data are deleted and potential interference and discord at the MAC level are mitigated [15]. Fang et al [16] proposed a clustering approach to bring data together in WSNs monitoring several targets. These targets can be stationary or dynamic at any time regardless of the others.…”

Self‐powered wireless sensor network using event‐triggered energy harvesters for monitoring and identifying intrusion activities

“…The wireless sensor network (WSN), which consists of a large amount of sensor nodes with wireless communication capability, has enormous applications including environmental monitoring, industrial control, infrastructure security, smart home and surveillance system [1][2][3][4]. One of the important applications of WSNs is to monitor intrusion activities for protecting international borders or sensitive facilities such as military bases, power plants, urban water sources and airports [5][6][7]. Currently, the majority of the WSNs are constructed based on battery-powered sensor nodes.…”