[PDF] Top 20 A WIRELESS SENSOR DATA FUSION FRAMEWORK FOR CONTAMINANT DETECTION
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A WIRELESS SENSOR DATA FUSION FRAMEWORK FOR CONTAMINANT DETECTION
... a sensor system monitoring air quality, “is the average particulate matter concentration abnormal, thus requiring an alarm?” This question can not necessarily be answered by looking only at the particulate matter ... See full document
81
Data Fusion in Mobile Wireless Sensor Networks
... transmits data to base station by single hop ...when data is transmitted from source to the base ...the data reliability improvements of both LEACH and TL-LEACH protocols are almost same ... See full document
5
Optimal fusion rule for distributed detection in clustered wireless sensor networks
... distributed detection in a clustered wireless sensor network (WSN) deployed randomly in a large field for the purpose of intrusion ...The sensor nodes (SNs) compute local decisions about the ... See full document
12
A Technique for Malicious Node Detection for Adaptive Data Fusion in Wireless Sensor Networks
... in Sensor Network: ACM conf computer and comm security (ACM CCS 06) [1] ,The network aggregation is the process of performing queries on sensor network ...in sensor network security assume the ... See full document
5
Distributed Detection and Fusion in a Large Wireless Sensor Network of Random Size
... the sensor field is quite vast and the sig- nal decays very fast as the distance from the target ...the fusion center. When the sensor net- work is very large, there is also the issue of ...local ... See full document
11
A Framework for Detection of Jammers in Wireless Sensor Network
... channel’s propagation characteristics[3]. The attributes of the jamming signals (and in particular their spatial properties) can affect measurable attributes (such as the PDR) to varying degrees in different parts of the ... See full document
8
An algorithm based on logistic regression with data fusion in wireless sensor networks
... However, the traditional target detection can be seen as a binary classification problem which decides whether the target is present. The classification problem is widely studied in the field of machine learning ... See full document
9
Contextual anomaly detection framework for big sensor data
... training data [8]. This is difficult in scenarios such as environmental sensor networks where there is little to no labelling for each sensor ...anomaly detection in wireless ... See full document
22
Contextual Anomaly Detection Framework for Big Sensor Data
... training data [45]. This is di ffi cult in scenarios such as environmental sensor networks where there is little to no labelling for each sensor ...anomaly detection in wireless ... See full document
92
Malicious Data Detection Using Binary Data with Event Detection in Wireless Sensor Network
... Creator [3] proposes compromise of structure watching modules and interruption location modules in the association of WSNs. They propose an Extended Kalman Filter (EKF) based framework to distinguish false mixed ... See full document
6
Flaw Detection in Wireless Sensor Network using a LDA Classifier
... In wireless sensor network (WSN), wireless sensor fault diagnosis based on fusion data analysis has provided attention in the wireless sensor ...field. ... See full document
10
Fusion Rules for Distributed Detection in Clustered Wireless Sensor Networks with Imperfect Channels
... optimal-cluster-based fusion rule (OCR) for clustered sensor ...this data to the FC over ideal ...collected data to the FC, in contrast to [29] that adopts sending hard decisions over ... See full document
13
Detection and Avoidance of Sensor Data Origin Falsification in Wireless Sensor Network
... Very large sensor networks are used in number of application fields, and the information they collect are used in judgment making for important infrastructures. information are collected from many sources from ... See full document
7
Security Technology of Wireless Sensor Internet of Things Based on Data Fusion
... Safety performance: The EDCDSA algorithm is equivalent to the CMT method for data fusion [10]. Security is the confidentiality of pseudo - random seeds shared by nodes and base stations. The CMT algorithm ... See full document
12
Exploitation of Data Correlation and Performance Enhancement in Wireless Sensor Networks
... of sensor nodes are quite limited, due to the constraints of low manufacturing and application ...of sensor nodes and network energy e ffi ciency. Sensor nodes are usually deployed in some ... See full document
110
A Big Data Analysis for Risk Identification on Wireless Sensor Network
... big data in real time. We proposed a new energy efficient big data aggregation protocol in wireless sensor ...the sensor network into various parts symmetrically about a root ... See full document
7
Quantized fusion rules for energy-based distributed detection in wireless sensor networks
... decentralized detection in bandwidth con- strained sensor networks has been addressed in [4], where the authors investigated the design of sensor messages sent to the FC that minimize the error ... See full document
6
Smart Services for Managing Solitary Fall Death in a House of the Elderly Living Alone
... considering resident lifestyles and proposing an optimized intelligent service designed to prevent and manage solitary fall deaths, we have shown that we can upgrade the quality of life for elderly people who love alone ... See full document
9
A Wormhole Attack Detection and Prevention Technique in Wireless Sensor Networks
... Security is one of the major and important issues surrounding net- work sensors because of its inherent liabilities, i.e. physical size. Since network sensors have no routers, all nodes involved in the network must share ... See full document
8
A Distributive Approach for Data Collection and Consignment Balancing In Wireless Sensor Networks via Mu-Mimo
... three-layer framework is proposed for mobile data collection in wireless sensor networks, which includes the sensor layer, cluster head layer, and mobile collector (called ... See full document
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