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Target tracking is one of the broad applications of underwater wireless sensor networks (UWSNs). Sensors of UWSNs are battery-powered and it is impracticable to replace the batteries when exhausted. That means the batteries life affecting the lifetime of whole networks. So, it is worth reducing the energy consumption on the premise of satisfactory tracking accuracy. This paper proposes an adaptive...
With rapid improvements in computer and software engineering, collaborative target recognition has become an active area of research in wireless sensor network community. Typically, each sensor node is designed to work using its very restrict battery capacity and limited computational resources, while the base station usually has sufficient energy supply and computational power. Hence, minimizing...
In this paper, we study the sensor selection problem for parameter estimation in wireless sensor networks (WSNs) to minimize the energy consumption with guaranteed quality of estimation. We adopt the Best Linear Unbiased Estimator (BLUE) as the fusion algorithm, and the Mean Squared Error (MSE) criterion to measure the quality of estimation. We formulate the problem as a constrained optimization problem,...
Although prolonging network life time in target tracking has been extensively studied in the literature of wireless sensor networks, the problem of energy efficiency with well tracking performance is still an open issue. In lots of exited works about target tracking in WSN, energy cost and uniform sampling interval was taken into consideration. While it ignored the remaining energy selected sensors...
Activity recognition in pervasive environments relies often on many different sensors. Low-level data streams from these sensors are combined at the decision level at a sink. A key challenge is to efficiently and with high accuracy recognise the objects activities based on low-level sensor data. There is a trade-off between obtaining the required accuracy of activity recognition and the energy consumption...
Gossip and tree-based aggregation algorithms are two popular solutions for distributed averaging in wireless networks. The former uses only local message exchanges and requires no routing structures whereas the latter requires building a spanning tree. In this paper we provide a detailed comparison of their performance in terms of communication overhead, accuracy, latency and energy consumption using...
The main concern in range-free localization is getting the high accuracy despite sensor has irregular radio pattern and implemented in anisotropic network. Nevertheless not much study on how the localization algorithm can deplete the sensors' energy even though its fundamental approach are highly depending on the connectivity among the nodes and anchors. In this paper three range-free localization,...
A unified framework of joint state tracking and control design is proposed for energy-efficient physical activity tracking in heterogeneous Wireless Body Area Networks (WBANs). The objective is to devise sensor selection strategies for the WBAN's fusion center to optimize the trade-off between tracking performance and energy consumption. Our recently proposed Kalman-like estimator is employed for...
A wireless sensor network (WSN) is an energy-constrained system. Energy consumption has always been an important factor to consider in the design of WSN-based localization systems. In existing localization systems, unknown nodes send data to the sink to request for a location at a given period. However, energy is wasted if unknown nodes remain still for a long time. In this paper, we propose a method...
Monitoring status with wireless sensor networks (WSNs) usually needs to perceive and transmit status values periodically. The periodical sampling will continuously consume sensor nodes' energy, which is rather limited in WSNs. Meanwhile, most monitored status values change slowly, continuously and self-interrelated in time, result in that a portion of periodical samples seem to be redundant. This...
Wireless Sensor Networks (WSNs) have known a tremendous and accentuated development in recent past and in present. Because in almost all applications the sensors must be autonomous, the lifetime of a WSN highly depends on the sensors' energy. The main limitation in designing and developing a WSN is the energy problem since battery replenishment or replacement is difficult or impossible. This paper...
The localization problem in wireless sensor networks often raises the crucial question that to what extent higher location estimation accuracy can be achieved at the cost of additional energy consumption. To obtain a trade off between location accuracy and energy consumption in wireless sensor networks, it is necessary to have a global vision where both the localization scheme and its induced computational...
This paper demonstrates the application of data mining on sensor data in order to develop a classification method for determination of inpatient's light and thermal comfort preferences. Hierarchical clustering along with incremental learning is proposed to develop an intelligent approach to control the temperature and light usage for each patient according to their comfort. By using the incremental...
The information of boundary area is important to track the continuous objects such as forest fires, radioactive matter, and oil spills. Recently, many of protocols are proposed for the continuous object tracking. They predict the future boundary shape of the continuous objects and activate only sensors in the predicted area of the objects. It is very efficient strategy in a uniformly deployed wireless...
In this paper, the problem of efficient operation of an energy-constrained, heterogeneous Wireless Body Area Network (WBAN) to optimize an activity detection application is addressed. WBANs constitute a new class of wireless sensor networks that enable diverse applications in healthcare, entertainment, sports, military and emergency situations. A typical WBAN consists of a few, heterogeneous sensors...
In Wireless Sensor Networks, directly sending large amount of data to the sink node may cause several problems. So, the data aggregation is a basic task in wireless sensor network. Certain application needs approximate data collection. In this paper, we focus on to collect a data approximately and efficiently with limited energy. So, we propose a technique called ADC (Approximate Data Collection),...
In this paper, a new target tracking method is proposed in Wireless Visual Sensor Networks (WVSN) using target movement prediction. Two important criteria in this regard are accuracy of tracking and efficient energy consumption. Because there is a direct relationship between the amount of coverage and accuracy tracking, an Evolutionary Algorithm (EA) is used as pre-processing to increase the coverage...
This paper introduces Tacit Consent (TaCo), a technique that exploits spatial correlation in Wireless Sensor Networks in order to reduce energy consumption while maintaining a very high accuracy on the measured data. In fact, nodes densely deployed in a field of interest are proved to sense highly correlated data, thus this intrinsic redundancy can be exploited to predict the neighbors' measurements...
In Wireless Sensor Networks (WSNs), performance and reliability depend on the fault tolerance scheme used in the system. Fault diagnosis is an important part of fault tolerance. An effective diagnosis tool helps network administrators clearly monitor, manage, and troubleshoot the performance of the network. However, the design of online fault diagnosis is crucial in WSNs since many faults can easily...
Time synchronization is important for many applications running in wireless sensor network. A classical algorithm, Timing-Sync Protocol for Sensor Networks (TPSN), has been widely adopted, which can achieve of the goal of high accuracy and energy-efficiency. However, the accuracy of TPSN algorithm will decrease in practical environments since communication conflicts occur in an ad-hoc wireless environment...
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