۱- Introduction

۲- Literature review

۳- Experiment setup

۴- Results and analysis

۵- Conclusion and recommendations

References

Abstract

Wireless sensor network technology offers endless possibilities for innovative solutions for different security and intrusion detection and recognition applications. By distributing multiple clusters of preconfigured wireless sensor network detection nodes, a widely monitored area can be consistently checked for intruders. These systems are simple, easy to install and reliable in detecting intruders automatically. This paper presents the utilization of a wireless sensor network as a non-invasive human identification system for smart homes and security applications. The proposed scheme analyzes the effect of individuals moving into a monitored area, where the 2.4 GHz wireless sensor network has been installed. It is imperative to comprehend the critical impact caused by different human bodies on multiple readings of Received Signal Strength Indicator collected at different levels for individuals at the same recording position. Multiple experiments were performed by utilizing the wireless sensor network nodes on different individuals at different positions. The paper particularly studies the effect of filtration and change of filtering parameters used to mitigate the multipath effect on the accuracy and detection capacity of the presented IEEE802.15.4-based radiometric human identification scheme.

Introduction

The rapid progress in the area of wireless and mobile communications have brought attention to wireless-based identification and detection systems. It is the foundation of any recognition systems to be able to precisely identify trespassers in an indoor environment. In the perspective of wireless sensor networks (WSN), the Received Signal Strength Indicator (RSSI), in addition to its intended use of link quality estimation (LQE), has been generally used for localization and positioning, as well as distance evaluation. Previous studies have demonstrated that in indoor environments where motes (i.e. nodes) have been installed, changes in the RSSI value can be used to distinguish people’s movement in the area. Additionally, the timely recorded readings of RSSI permit the mapping of the walking paths of a person within the monitored environment. Multipath fading has been investigated in detail for the utilization in the area of digital communication. Furthermore, studies on the influence of multipath fading on wireless communication and the variation of the level of RSSI in an indoor During any wireless connection, the signal may be corrupted by different changes in the transmission channel. The coverage could be lost due to blockage by surrounding solid objects while the signal’s strength could be degraded by further separation of the two ends of the communication link. Furthermore, when a signal traverses different paths between transmitter and receiver in an indoor environment, the received components can add up destructively, causing a noticeable degradation in the wireless communication link’s quality. An LQE for real-time Industrial WSN was introduced in [4]. RSSI information acquired from received packets was utilized in this work. The proposed LQE was successful in representing the combined impact of multipath, noise and magnetic fields interfering with IEEE 802.15.4 radios.