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A survey of wireless sensor network solutions for gait assessment is presented including own developed solution gait assessment based on smart insoles nodes ZigBee compatible characterized by multichannel force measurement and MEMS inertial measurement IMU. The system was developed to measure ground reaction force, acceleration and direction of feet in order to provide information to physiotherapists...
Internet of Things (IoT) represents a cyber-physical world where physical things are interconnected on the Web. This paper presents an architecture designed for Energy-efficient Inter-organizational wireless sensor data collection Framework (EnIF). Environmental monitoring and urban sensing are two major application scenarios in IoT. Different from the traditional sensor environments, environmental...
Dimensionality reduction techniques are convenient for data aggregation to reduce battery energy consumption in sensor nodes. Normally, principal component analysis (PCA), a dimensionality reduction technique, has been used for data aggregation in WSNs. However, PCA yields to data errors when the sensing data are not related. The PCA processing time is also an issue in an urgent situation that the...
Due to great advancement in the field of science and technology, Wireless Sensor Network (WSN) has been become one of the most attractive and intriguing research area in last few years. Large-scale sensor networks has been deployed by interconnecting several hundred to a few thousand sensors nodes opens up diverse technical challenges and tremendous application possibilities. This paper presents a...
Wireless Sensor Network is a network of small battery powered sensing devices (known as sensing nodes), capable of sensing the physical parameters like temperature, humidity, pressure, motion, etc. from its environment of deployment and report it to a central node called base station. These nodes collaborate with each other to fulfill their task. As the energy source is constrained in WSNs, it should...
A wireless sensor network could be either homogeneous network or heterogeneous network. Depending upon the nature of application requirements a wireless sensor node could either be static or mobile one. When the nodes are static, data collection by the sink from various sources will be difficult and time consuming process. Also static deployment of sink as well as source nodes lead to energy hole...
There are few regulatory restrictions involving the use of fully autonomous unmanned aerial systems in unpopulated, farming areas of Australia. The combination of a fully autonomous aerial and ground systems would provide efficient and cost effective retrieval of soil and vegetation data for use in precision agriculture. The aerial system will survey the site and collect spectral imagery to analyse...
In wireless sensor networks (WSNs), preserving energy requires utmost attention, as they are highly resource constrained. Clustering is commonly considered as one of the efficient energy conservation technique. Firstly, we analyze the maximization of network lifetime by balancing the energy consumption among different cluster heads (CHs). It is found that number of clusters and number of member nodes...
The sensor nodes' sensing models directly determine the energy-efficient coverage of wireless sensor networks. Existing uncertain sensing models are all constructed based on stochastic programming or fuzzy programming. Though they consider some uncertain factors in a real environment, the accurate probability distribution and fuzzy membership function are difficult to know in advance. Moreover, the...
This research expands the scope of wireless sensor network (WSN) optimization from single objective to multi objective optimization. It introduces a WSN's energy-aware and coverage preserve hierarchal clustering and routing model based on multi-objective bat swarm optimization algorithm. Two objectives are taken into consideration; coverage and nodes residual energies. The proposed model optimizes...
Internet of Things (IoT) is extension of current internet to provide communication, connection, and inter-networking between various devices or physical objects also known as “Things.” In this paper we have reported an effective use of IoT for Environmental Condition Monitoring and Controlling in Homes. We also provide fault detection and correction in any devices connected to this system automatically...
Pollution detection and monitoring is very crucial task in todays world. To create better and safer environment for human being, animals, plants we need to monitor and control the pollution. This study proposes air pollution and monitoring model which detects pollution in air on the basis of data mining algorithm. The sensor grid is used to detect the sensor values from different gas sensors. Microcontroller...
In this work, we propose a generalized framework for designing optimal sensor constellations for spatio-temporally correlated field estimation using wireless sensor networks. The accuracy of the field intensity estimate in every point of a given service area strongly depends upon the number and the constellation of the sensors along with the spatio-temporal statistics of the field. We formulate and...
We propose an alternating optimization algorithm for localizing a mobile non-cooperative target using a wireless sensor network. We consider the scenario where sensors receive single-bounce non-line-of-sight signals from the moving target. Each sensor is able to measure the target signal's angle-of-arrival and received signal strength. The transmit powers of the non-cooperative target at different...
A sensor network consisting of hundreds to thousands of small and limited powered nodes with a processing unit called sink or base station connected wirelessly is called a wireless sensor network. It is considerably reasonable to design and develop these small, limited powered sensing nodes with low cost. As these nodes are limited battery powered therefore energy conservation is a key issue. Various...
Given the significant concerns regarding carbon emission from the fossil fuels, global warming and energy crisis, the renewable distributed energy resources (DERs) are going to be integrated in the smart grid. This grid can spread the intelligence of the energy distribution and control system from the central unit to the long-distance remote areas, thus enabling accurate state estimation and wide-area...
Environment sensing and monitoring is noteworthy from many aspects, which one of the most important is urban air pollution. To a large extend, wireless sensor networks responded to this requirement. But with increasing growing number of nodes, Centralized management seems hard. The concept of community sensing have been used to solve this problem, where sensor is controlled by an agent that reports...
Obesity is one of the rise and among the top health risk factors in the world affecting people of all ages. It can lead to many problems including increased risk of cardiovascular disease, diabetes, functional limitations, and disabilities which adversely affect the social and physical abilities of the obese person in daily affairs. While the rising trend of obesity in adults is a serious problem,...
In Wireless Sensor Networks, Sensors are generally battery powered devices. This networks is used to gather various kinds of information to Base station (BS). They consist of computational power, storage capacity, energy supply are the important issues in their energy constraint. To maximize the network lifetime, we need not only to minimize total energy consumption and also balance WSN load. In this...
Energy consumption is an important consideration in sensor networks for sensing, computation, and communication. For any sensor network, either ad hoc or distributed, controlled or self-organized, energy management is crucial since the lifetime of a sensor node depends exclusively on its limited battery capacity (except for physical damage and system failures), hence, it is extremely important to...
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