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We consider Bayesian ranging methods for localization in wireless communication systems. Based on a channel model and given priors for the range and the line-of-sight (LOS) condition, we propose range estimators with and without LOS detection. Since the pdf of the received frequency-domain signals is unknown, we approximate the maximum-a-posteriori (MAP) and the minimum mean-squared error (MMSE) estimators...
For the health-care needs of the elderly people, a fall detection indoor positioning system based on CC2431 wireless positioning system and SCA3060 tri-axis accelerometer is designed in this paper. CC2431 location engine positioning algorithm is based on the RSSI values. The blind node will collect the RSSI value from both itself and the reference nodes and then locate the fallen elderly people by...
In recent past, the rapid developing of mobile internet inspires the widespread use of WiFi (IEEE 802.11) technology. In WiFi, the access control of a terminal to the router remains a significant challenge because the PIN (password) and MAC address are easy to guess and forge. In this paper, we present FastID - a practical system that identifies WiFi terminals in real-time by fingerprinting their...
Fingerprinting based localization is one of the most widely used indoor localization methods. This method is divided into two phases: during the off-line training phase, fingerprints within the area of interest are collected and stored in a fingerprint database; during the on-line mapping phase, the real-time location of a device is estimated by mapping itself to the most accurate fingerprint in the...
This paper presents a novel range-free geo-localization algorithm in wireless networks. The algorithm does not require ranging devices. It uses node connectivity to estimate the location of unknown (location unaware) nodes based on two or more anchor (location aware) nodes. The algorithm works in two steps. In the first step, the True Intersection Points (TIPs) that constitute the vertices of the...
A machine learning co-processor in 0.35μm CMOS for motor intention decoding in the brain-machine interfaces is presented in this paper. Using Extreme Learning Machine algorithm, time delayed sample based feature dimension enhancement, low-power analog processing and massive parallelism, it achieves an energy efficiency of 290 GMACs/W at a classification rate of 50 Hz. A portable external unit based...
Now a day the technological grow up motivated to researcher for 24∗7 facility without the physical support. To achieved such a parameters, scientist and laboratory person continuing the research into Ubiquitous computing that facilitate the anywhere anytime communication. To deploy the set up of Ubiquitous environments, we first need to deep analysis of pattern that followed the building then we established...
To improve nodes localization accuracy for wireless sensor network (WSN), we propose an optimized selection localization algorithm based on fuzzy c-means (FCM). By cluster analysis, algorithm can figure out the distance data which are far more beyond their true value, and then removes those data. Each three beacon nodes are selected to form groups. The groups are selected based on the ranges between...
According to the problem of agglomeration effect of Graph-based Semi-Supervised Learning (G-SSL), this paper studies a Distance-aware Graph-based Semi-supervised Learning (DG-SSL) algorithm, which reduces the agglomeration effect of G-SSL, and holds smaller average estimation error. When compared with the K nearest neighbors (KNN) algorithm, moreover, the DG-SS algorithm can achieve better positioning...
In the last decade, cellular technology has grown tremendously and has been able to reach each and every individual. But with this huge increase in number of users the need for a better management of bandwidth and resources has also increased tremendously and for better resource management and for good end user experience optimizing paging scheme has become important. Hence, various paging schemes...
Along with the growing demand of Wireless Sensor network applications, services are also increasing to fulfill the requirements of applications for different aspects. Therefore best service selection for the applications is difficult for the untrained (Non parametric) users. To select the best service, various criteria will be as per the requirements of WSNs applications. As per the criteria service...
The tracking behavior of Least Mean Squares (LMS) and Recursive Least Squares (RLS) algorithms have been under considerations for several years. For system identification problems it is usually assumed that the system under consideration is of FIR type with coefficients that are statistically independent random processes with identical distribution (IID), a somewhat artificial assumption that can...
This paper presents bandpass filter designs using a star type loop resonator. Both single mode and dual mode microstrip filters are designed. A small triangular patch element is used to perturb the fields and couple the dual degenerate modes for constructing dual mode bandpass filter. Two single mode filters are designed and results show chebyshev like characteristics. The dual mode filter exhibits...
This paper proposes the need of real-time electronic voting system in our election due to increase in unfair voting or illegal voting in Loksabha and Rajyasabha in election. This project proposes authenticated data processing using thumb impression. In this system Atmega328p is used to authenticate user using fingerprint module. Atmega328p combines with an embedded real-time operating system and wireless...
Wireless Sensor Network(WSN) consists of tiny sensor nodes that are capable of sensing the environment and transmit the gathered information to the monitoring site. Conventional WSN architecture has limitations in bandwidth, power and storage. In case of multimedia applications data to be handled by the network is too large, which can be reduced with help of a technique known as Compressed Sensing(CS)...
Throughout browsing the web or running applications on a wireless network, user's private information should be hidden from other users. Private information may include the visited websites, downloaded files, chatting messages or any other web or network activities. Therefore, several encrypting protocols (such as: IPsec, TLS, SSL, etc.) and privacy mechanisms (such as: SSH and Tor) have been introduced...
In order to implement high precision time synchronization autonomously in the absence of any external time source, in this paper, the author introduced the synchronize model of fireflies into UAV formation network, and proposed a kind of distributed time synchronization method base on broadcast, and conducted some computer simulation experiments and built one test platform to prove the feasibility...
Wireless capsule endoscopy (WCE) is able to investigate the entire gastrointestinal tract including the small bowel. To reduce the reviewing time of captured images by gastroenterologists and increasing the accuracy rate for automatic detection of abnormalities, it is beneficial to remove regions which have less or no clinical information of small bowel texture (i.e., uninformative regions). In this...
Body area network is now on its speedway of development, which stresses the importance of in-body localization. Wireless capsule endoscopy, one major application in BAN, helps physicians to work out better treatments and inspections of gastrointestinal tract if wireless capsule endoscope could be more accurately localized. In this paper we first propose the CRLB of TOA ranging inside homogeneous tissue...
This work presents neMEMSi-TEG, an ultra-low power MEMS based inertial and magnetic platform with embedded processing and wireless communication capabilities. The platform embeds an advanced energy management IC that allows an extremely high efficiency energy harvesting suitable for low-power and miniaturized Thermoelectric Generators. This paper aims to provide a description of the architecture of...
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