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Patent

Intrusion detection and tracking system

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TLDR
In this paper, a method to detect an object in an area includes forming a wireless network among a plurality of nodes, each of the nodes being configured to generate an electromagnetic field (EMF) in the area and determining changes in the EMF between two nodes based on: a first difference in received signal strength values between a previously determined received Signal Signal Strength Index (SSEI) and a currently determined SSEI, a second difference in SSAI between the currently determined receive signal strength value and an average SSAIs, and a third difference in link quality values between
Abstract
In one aspect, a method to detect an object in an area includes forming a wireless network among a plurality of nodes, each of the nodes being configured to generate an electromagnetic field (EMF) in the area and determining changes in the EMF between two nodes based on: a first difference in received signal strength values between a previously determined received signal strength value and a currently determined received signal strength value, a second difference in received signal strength values between the currently determined received signal strength value and an average received signal strength value and a third difference in link quality values between a previously determined link quality value and a currently determined link quality value. The method further comprises detecting the object based on the changes in the EMF.

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Citations
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Intelligent sensor network

TL;DR: In this article, the authors describe a sensor network and method for monitoring and detecting intrusion activities in accordance with various illustrative embodiments, such as receiving a first input from a first sensor at a first node of a wireless ad hoc sensor network, and comparing the first input to a first predefined input threshold associated with an intrusion activity.
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References
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Journal ArticleDOI

A line in the sand: a wireless sensor network for target detection, classification, and tracking

TL;DR: This paper studies the application of sensor networks to the intrusion detection problem and the related problems of classifying and tracking targets using a dense, distributed, wireless network of multi-modal resource-poor sensors combined into loosely coherent sensor arrays that perform in situ detection, estimation, compression, and exfiltration.
Journal ArticleDOI

Radio Tomographic Imaging with Wireless Networks

TL;DR: A linear model for using received signal strength (RSS) measurements to obtain images of moving objects and mean-squared error bounds on image accuracy are derived, which are used to calculate the accuracy of an RTI system for a given node geometry.
Proceedings ArticleDOI

Challenges: device-free passive localization for wireless environments

TL;DR: This talk gives a holistic overview of the area of contact-free ambient sensing based on RF technology, highlighting how it evolved over a decade from binary-detection in controlled environments to commercial systems for border protection and smart homes.
Patent

Position detection and location tracking in a wireless network

TL;DR: In this article, a system and method for performing real-time position detection and motion tracking of mobile communications devices (120) moving about in a defined space comprised of a plurality of locales is provided.
Patent

Method and apparatus for distributed signal processing among internetworked wireless integrated network sensors (WINS)

TL;DR: The Wireless Integrated Network Sensor Next Generation (WINS NG) as mentioned in this paper nodes provide distributed network and Internet access to sensors, controls, and processors that are deeply embedded in equipment, facilities, and the environment.