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Data fusion of sensors is a useful technique to obtain more comprehensive information about the monitoring targets in wireless sensor networks (WSN). This paper proposes a data fusion algorithm based on fuzzy logic theory to monitor a parking space in the parking lot using magnetic sensors and point out the probability of occupancy of the corresponding parking space. Simulation results show that our...
Wireless Sensor Networks (WSN) can produce decisions that are unreliable due to the large inherent uncertainties in the areas which they are deployed. It is vital for the applications where WSN's are deployed that accurate decisions can be made from the data produced. Fault detection is a vital pursuit, however it is a challenging task. In this paper we present a fuzzy logic data fusion approach to...
Resource management for multitarget detection in Heterogeneous Sensor Networks (HSN) is an open research area. By considering communication capabilities, energy differences and mobility dissimilarities jointly, we propose a fuzzy logic system (FLS) and apply fuzzy c-mean (FCM) clustering to adaptively select sensors that report surrounding targets information for further data fusion. Monte Carlo simulations...
With the advances in technology, low cost and low footprint sensors are being used more and more commonly. Especially for military applications wireless sensor networks (WSN) have become an attractive solution as they have great use for avoiding deadly danger in combat. For military applications, classification of a target in a battlefield plays an important role. A wireless sensor node has the ability...
Multisensor data fusion has many military and civilian applications due to its statistical advantages. In this work, we propose a heuristic to enhance cooperative detection of moving targets within a region that is monitored by a wireless sensor network. This heuristic is based on fuzzy dynamic weighted majority voting for decision fusion. It fuses all the local decisions of the neighboring sensor...
Small amount of sand in oil pipelines can result in significant erosion in a very short time period. This produced sand is a serious problem in many production situations. Installation of a system to monitor and quantify sand production from a well would be valuable to assist in optimizing well productivity and to detect sand as early as possible. We present a multi-sensor framework for sand detection...
Wireless sensor network (WSN) consist of a large number of sensor nodes which are limited in battery power and communication range and are having multi-modal sensing capability. One of the most significant applications of wireless sensor network is environment monitoring. In this paper, a multi-sensor data fusion algorithm in WSN using fuzzy logic for event detection application is proposed. In the...
In our latest work, we developed a data fusion algorithm which can be applied on fusion centers of a cluster-based wireless sensor network (WSN). The data fusion algorithm is a mathematical model based on fuzzy logic theory. In fuzzy logic, a collection of objects is processed using fuzzy sets to obtain a value, which summarizes the collection. In this paper, we examine the effects of imprecise WSN...
Localization is an issue of vital importance for the functioning of autonomous mobile sensor networks. Location information, allows a mobile sensor node to navigate complex environments and perform local tasks successfully. In mobile sensor networks, this information facilitates important functions like topology control, collision avoidance and development and security of routing protocols. This issue...
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