Zil an energy efficient indoor localization system using zig bee radio to detect wifi fingerprints
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Sensors need to autonomously deploy to cover points of interest while maintaining connectivity to a base station. This paper proposes an algorithm where each sensor moves toward a point of interest but also maintains connectivity with neighboring sensors that are part of a relative neighborhood graph, minimizing connectivity sensors and maximizing monitoring sensors. Analysis, simulations, and implementation show the efficiency of the algorithm in optimizing sensor deployment over points of interest with connectivity constraints.
Covering points of interest with mobile sensors
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Sensors need to autonomously deploy to cover points of interest while maintaining connectivity to a base station. This paper proposes an algorithm where each sensor moves toward a point of interest but also maintains connectivity with neighboring sensors that are part of a relative neighborhood graph, minimizing connectivity sensors and maximizing monitoring sensors. Analysis, simulations, and implementation show the efficiency of the algorithm in optimizing sensor deployment over points of interest with connectivity constraints.
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For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old no: 251, New no: 304,
2nd floor,
Arcot road ,
Vadapalani ,
Chennai-26.
Website - www.impulse.net.in
Email ID - ieeeprojects@yahoo.com
imbpulse@gmail.com
Design of automatic meter reading based on zigbee
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old no: 251, New no: 304,
2nd floor,
Arcot road ,
Vadapalani ,
Chennai-26.
Website - www.impulse.net.in
Email ID - ieeeprojects@yahoo.com
imbpulse@gmail.com
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Location awareness is a key requirement for many pervasive
applications. Collaborative localization techniques are interesting
because they help to improve accuracy and coverage indoors and improve
power consumption by duty-cycling GPS outdoors. We use Bluetooth
for collaborative localization of mobile personal devices. Specifically,
we embed information in Bluetooth device names to improve latency
of information exchange between participating nodes. We identify
and demonstrate on real hardware two problems in the Bluetooth stack
that negatively impact localization accuracy: a) device name caching
that introduces significant device-specific delays in transmitting information
between nodes, and b) poor accuracy of time synchronization in
modern mobile devices. Our solution is to append additional time information
to the device name and track time o↵sets between nodes. We
verify experimentally that this helps to both detect outliers and correct
for time-synchronization errors and thus mitigate localization errors.
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Indoor location is finally beginning to deliver on promises made over the last decade. Low cost deployment using simple, power efficient sensors is driving this development. This presentation will provide a survey of mobile location technologies that employ the Bluetooth Low Energy standard paired with the capabilites of recent mobile devices. After moving on to consider the cross platform capabilities of recent vendor protocols, the talk will weigh the pros and cons of various uses of triangulation, proximity and hybrid GPS/Wifi/Bluetooth in location applications. Finally, a live demo of proximity, ranging and position using Bluetooth Low Energy devices and the iBeacon protocol will be conducted within the presentation room.
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This document describes a proposed smart street lighting system that uses IoT technologies. The system uses sensors to monitor street light illumination levels, human presence, power usage, and garbage bin levels. It aims to reduce energy consumption by adjusting street light brightness based on sensors. Power theft can also be detected. Sensor data is sent to a remote cloud server via a Zigbee mesh network. When garbage bins are full, an automatic notification is sent to the local authority. The system could help make street lighting more efficient and automate some municipal services.
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This document discusses an algorithm for autonomously deploying mobile sensors to cover predefined Points of Interest (PoI) while maintaining connectivity to a base station. The algorithm moves each sensor toward a PoI while having it maintain connectivity to a subset of neighboring sensors that are part of the Relative Neighborhood Graph. This deployment scheme aims to minimize the number of sensors used for connectivity, increasing the number available for monitoring. The paper provides analytical results, simulations, and details of a practical implementation to demonstrate the efficiency of the algorithm.
Design of automatic meter reading based on zigbee
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old no: 251, New no: 304,
2nd floor,
Arcot road ,
Vadapalani ,
Chennai-26.
Website - www.impulse.net.in
Email ID - ieeeprojects@yahoo.com
imbpulse@gmail.com
Design of automatic meter reading based on zigbee
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old no: 251, New no: 304,
2nd floor,
Arcot road ,
Vadapalani ,
Chennai-26.
Website - www.impulse.net.in
Email ID - ieeeprojects@yahoo.com
imbpulse@gmail.com
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This paper presents WiSee, a novel gesture recognition system that uses wireless signals (e.g. WiFi) to enable whole-home sensing and recognition of human gestures without requiring instrumentation of the human body or an infrastructure of cameras. WiSee addresses two key challenges: 1) how to extract information about gestures from wireless signals given that human gestures result in very small Doppler shifts, and 2) how to deal with multiple humans in the environment who can affect the wireless signals. The paper describes WiSee's prototype implementation and evaluation showing it can identify and classify nine gestures with 94% accuracy on average in both line-of-sight and non-line-of-sight scenarios across different rooms of a home using only a WiFi
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The document discusses Casambi's Bluetooth Low Energy (BLE)-based smart lighting technology. It begins by explaining that BLE is a new technology compared to Classic Bluetooth, and was designed for low-power Internet of Things applications. Casambi's technology uses BLE and creates a self-healing, self-organizing wireless mesh network to control lighting fixtures. It allows for over-the-air firmware and configuration updates. The technology can control existing lights and integrates with LED drivers, bulbs, and modules.
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This document discusses Zigbee and its role in wireless sensor networks. It begins by describing how sensors have evolved from simple devices without computation or communication abilities, to sensor nodes that can process data and communicate wirelessly. It then introduces Zigbee as an important wireless communication standard developed for low data rate applications requiring long battery life. The document explains that Zigbee targets applications in areas like smart energy meters and home automation due to its low power consumption and cost. It compares Zigbee to other wireless standards like Bluetooth and Wi-Fi, noting that Zigbee is best suited for simple sensor applications. Examples of commercial Zigbee products are also provided.
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Aging aware reliable multiplier design with adaptive hold logic
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A high performance fir filter architecture for fixed and reconfigurable appli...
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A generalized algorithm and reconfigurable architecture for efficient and sca...
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A combined sdc sdf architecture for normal i o pipelined radix-2 fft
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Reverse converter design via parallel prefix adders novel components, method...
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Pre encoded multipliers based on non-redundant radix-4 signed-digit encoding
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Energy optimized subthreshold vlsi logic family with unbalanced pull up down ...
I3E Technologies,
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Variable form carrier-based pwm for boost-voltage motor driver with a charge-...
I3E Technologies,
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Ultrasparse ac link converters
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Single inductor dual-output buck–boost power factor correction converter
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Ripple minimization through harmonic elimination in asymmetric interleaved mu...
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Resonance analysis and soft switching design of isolated boost converter with...
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Reliability evaluation of conventional and interleaved dc–dc boost converters
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Power factor corrected zeta converter based improved power quality switched m...
The document describes a proposed switched mode power supply (SMPS) system that uses a front-end power factor corrected Zeta converter to improve power quality. The front-end converter reduces 100-Hz ripple and improves power factor and voltage regulation. Simulation and testing of a laboratory prototype showed the proposed SMPS enhanced performance under varying input voltages and loading conditions, meeting international power quality standards.
Pfc cuk converter fed bldc motor drive
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Optimized operation of current fed dual active bridge dc dc converter for pv ...
This document discusses optimized operation of a current-fed dual active bridge DC-DC converter for photovoltaic applications. It analyzes the operating principle and soft-switching conditions over a wide operating range with phase shift and duty cycle control. An optimized operating mode is proposed to achieve minimum RMS transformer current and extend the soft-switching region to reduce losses. Experimental results from a 5 kW hardware prototype verify the analysis. Contact and location information is also provided for an organization that develops IEEE software and hardware projects.
Online variable topology type photovoltaic grid-connected inverter
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An efficient constant multiplier architecture based on vertical horizontal bi...
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Aging aware reliable multiplier design with adaptive hold logic
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A generalized algorithm and reconfigurable architecture for efficient and sca...
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A combined sdc sdf architecture for normal i o pipelined radix-2 fft
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Pre encoded multipliers based on non-redundant radix-4 signed-digit encoding
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Energy optimized subthreshold vlsi logic family with unbalanced pull up down ...
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Variable form carrier-based pwm for boost-voltage motor driver with a charge-...
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Low power architecture of logic gates using adiabatic techniques
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
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Recycled Concrete Aggregate in Construction Part III
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
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Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
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- 1. ZIL AN ENERGY-EFFICIENT INDOOR LOCALIZATION SYSTEM USING ZIGBEE RADIO TO DETECT WIFI FINGERPRINTS ABSTRACT In existing WiFi-based localization methods, smart mobile devices consume quite a lot of power as WiFi interfaces need to be used for frequent AP scanning during the localization process. In this work, we design an energy-efficient indoor localization system called ZigBee assisted indoor localization (ZIL) based on WiFi fingerprints via ZigBee interference signatures. ZIL uses ZigBee interfaces to collect mixed WiFi signals, which include non-periodic WiFi data and periodic beacon signals. However, WiFi APs cannot be identified from these WiFi signals by ZigBee interfaces directly. To address this issue, we propose a method for detecting WiFi APs to form WiFi fingerprints from the signals collected by ZigBee interfaces. We propose a novel finger print matching algorithm to align a pair of fingerprints effectively. To improve the localization accuracy, we design the K-nearest neighbor (KNN) method with three different weighted distances and find that the KNN algorithm with the Manhattan distance performs best. Experiments show that ZIL can achieve the localization accuracy of 87%, which is competitive compared to state-of-the-art WiFi fingerprint-based approaches, and save energy by 68% on average compared to the approach based on WiFi interface.