Data fusion techniques for auto calibration in wireless sensor networks maen takruri 1, subhash challa 2, ramah yunis 1 centre for realtime information networks crin university of technology, sydney, australia 2 nicta victoria research laboratory, australia email. In wireless sensor networks, resourceconstrained sensor nodes are spread over a potentially large area to measure environmental characteristics such as. Data fusion is the process of fusing or combining data from multiple data sources for the purpose of better inference. Data fusion among the same type of sensors in an active sensor. A new data fusion algorithm for wireless sensor networks. Data fusion generally outperforms decision fusion in accuracy at the price of a higher communication cost. In order to improve the data fusion accuracy and the fusion efficiency of intermediate fusion nodes, this paper presents a new data fusion method for privacy protection in. A data fusion method in wireless sensor networks ncbi. Extending lifetime of wireless sensor networks using multisensor data fusion soumitra das1, s barani2, sanjeev wagh3 and s s sonavane4 1department of computer science and engineering, sathyabama university, chennai 600119, india 2department of electronics and control engineering, sathyabama university, chennai 600119, india 3department of computer engineering, k. Sensor networks although fusion frames can be used to model general distributed processing applications, in this paper we intend to focus on the modeling of sensor networks. For example, you might have noticed that theres a nonzero probability there are negative occupants in the room. In the counting rulebased detection in an nsensor network, the local sensors transmit binary decisions to the fusion center, where the number.
Data fusion in wireless sensor networks maen takruri submitted in partial fulfillment of the requirements for the degree of doctor of philosophy faculty of engineering and inforrnation technology university of technology, sydney march 2009. Multisensor data fusion is a technology to enable combining information from several sources in order to form a unified picture. Impact of data fusion on realtime detection in sensor networks rui tan 1guoliang xing2 benyuan liu3 jianping wang 1city university of hong kong, hksar 2michigan state university, usa 3university of massachusetts lowell, usa abstractrealtime detection is an important requirement of many missioncritical wireless sensor network applications. Related issues study of wireless sensor network security. In order to improve the data fusion accuracy and the fusion efficiency of intermediate fusion nodes, this paper presents a new data fusion method for privacy protection in wireless sensor networks. You might think you dont know what that means, but dont worry, you do. Scalable structurefree data fusion on wireless sensor. Agent based sensor and data fusion in forest fire observer a sensor data fusion procedure for environmental monitoring applications by a configurable network of smart websensors monitoring changes in operational scenarios via data fusion in sensor networks. Bayesian approach for data fusion in sensor networks j. Mar 24, 2006 agent based sensor and data fusion in forest fire observer a sensor data fusion procedure for environmental monitoring applications by a configurable network of smart websensors monitoring changes in operational scenarios via data fusion in sensor networks. As an important element of internet of things, wireless sensor networks wsn are composed of many compact microsensors. Directional controlled fusion in wireless sensor networks. In this article, we use a neural network to help set up a wsn with distributed data fusion.
Therefore, to maximize the lifetime of sensor networks, aggressive energy optimization techniques have to be used for ensuring that energy is conserved for the sensor nodes. European projects aim at streamlining exploration and improving sustainability founded in 2011 in cambridge, massachusetts, machine analytics is led by business analytics and data fusion expert dr. In wireless sensor networks, using the data fusion at different. Data fusion techniques for auto calibration in wireless. Impact of data fusion on realtime detection in sensor.
Impact of data fusion on realtime detection in sensor networks. Wireless sensor networks, distributed detection, decision fusion, signal attenuation model. The paper provides a more detailed look at some existing data fusion and topology management algorithms. Nasipuri, serial data fusion using spacefilling curves in wireless sensor networks, in. Pdf a data fusion method in wireless sensor networks. The data fusion at various levels should be synchronized in. Direct fusion is the fusion of sensor data from a set of heterogeneous or homogeneous sensors, soft sensors, and history values of sensor data, while indirect fusion uses information sources like a priori knowledge about the environment and human input. However, with the continuous application of wireless sensor networks, it raises higher demands for information integrity and privacy, data fusion faces new challenges. The paper focuses on issues related to the integration of wireless sensor network security data, analyzes its attack types.
Sensor data fusion article about sensor data fusion by the. Secure data fusion in wireless multimedia sensor networks via compressed sensing ruigao, 1,2 yingyouwen, 1,2 andhongzhao 1,2 college of information science and engineering, northeastern university, shenyang, china key laboratory of medical image computing of ministry of education, northeastern university, shenyang, china. Security mechanism of transmission encryption of network is introduced to protect the security of data. In this paper, we present a fuzzybased data fusion approach for wsn with the aim of increasing the qos whilst reducing the energy consumption.
While innetwork data fusion can reduce data redundancy and hence curtail network load, the fusion process itself may introduce signi. Secure data fusion in wireless multimedia sensor networks. Sensor data fusion article about sensor data fusion by. Handling sensing data errors and uncertainties in wsn while maximizing network lifetime are important issues in the design of applications and protocols for wireless sensor networks. Wireless sensor networks wsns have attracted the interest of.
Sensor fusion is combining of sensory data or data derived from disparate sources such that the resulting information has less uncertainty than would be possible when these sources were used individually. As data either raw or fused is propagated towards the sink, multiple levels of data fusion are likely. In addition, the gating technique is also applied to solve the problem of msdft mobilesensor data fusion tracking for targets, i. The design of largescale sensor networks interconnecting various sensor nodes has spurred a great deal of interest due to its wide variety of applications. Data fusion improves the coverage of wireless sensor. A sensor data fusion procedure for environmental monitoring applications by a configurable network of smart websensors. Due to the advantage of data fusion in deleting redundant information and extending lifetime of network, data fusion has become one of the important ways of effectively relieving the bottleneck of wireless sensor networks resources, which has been widely used in wireless sensor networks. Data fusion approach for error correction in wireless. Data aggregation legal definition of data aggregation.
Energyefficient decision fusion for distributed detection in. Decision fusion in a wireless sensor network with a large. The wireless sensor network wsn is mainly composed of a large number of sensor nodes that are equipped with limited energy and resources. Research article secure data fusion in wireless multimedia. Its something you do all the time, as part of your daily life.
A study on data fusion of wireless sensor networks security. Use of more than one sensor provides additional information. Sabzevari, introducing a sensor network for advanced driver assistance systems using fuzzy logic and sensor data fusion techniques, adhoc and sensor wireless networks, vol. The sensor data fusion method is based on deep neural networks dnns. Wireless sensor networks wsn have gained much attention recently. Sensor data is transmitted to users over a central station, named base. Our aim is to provide a better understanding of the current research issues in this field. Mobile agent itinerary planning for wsn data fusion. A wireless sensor network wsn which consists of a large number of cheap, tiny, battery powered sensor.
An algorithm of mobile sensors data fusion tracking for. Data aggregation synonyms, data aggregation antonyms. Synchronization of multiple levels of data fusion in wireless. One of the most important challenges of such networks is the distributed management of the huge amount of data produced by sensors in network to reduce data traffic in network and minimize the energy. Data fusion in wireless sensor networks using fuzzy systems. May 16, 2017 recent advancements in sensor technology, wireless networks and consequently wireless sensor networks and the increase in their applications in different fields have led to their great importance.
Keywords wireless sensor networks, data aggregation, multipath routing. An approach to implement data fusion techniques in. This article focuses on communication between sensor and fusion processes, explores how readings from multiple distributed sensor nodes are. Directional controlled fusion in wireless sensor networks ymin chen, yvictor leung. Data fusion technology is widely used in data processing due to its characteristic of less transfer data. Hybrid data and decision fusion techniques for modelbased. Dynamic data fusion for future sensor networks umakishore ramachandran, rajnish kumar, matthew wolenetz, brian cooper, bikash agarwalla, junsuk shin, phillip hutto, and arnab paul college of computing, georgia institute of technology dfuse is an architectural framework for dynamic applicationspeci. Tracking for wireless sensor networks tracking in image flows movies threat detection and object classification target motion analysis for details.
Usually a wsn consists of a large number of lowcost and lowenergy sensors, which are deployed in the environment to collect observations and preprocess the. Synchronization of multiple levels of data fusion in. One of the most important challenges of such networks is the distributed management of the huge amount of data produced by sensors in network to reduce data traffic in network and. Each wsn node may simultaneously service multiple active subscriptions and respectively run several processes for data production or. Sensor fusion is also known as multi sensor data fusion and is a subset of information fusion. Introduction with the development of digital electronics and wireless communications, a new breed of tiny embedded systems known as wireless sensor nodes has emerged in the past decade. Extending lifetime of wireless sensor networks using multi. Wireless sensor network is deployed on human inaccessible region to perform a very. The wireless sensor network wsn is mainly composed of a large number of sensor nodes that are equipped with limited energy and. This is more or less the smallest building block of sensor fusion theory, and like any smallest block it has its problems. This paper discusses about wireless sensor network, its architecture, data aggregation or fusion related algorithms.
Data fusion in sensor networks university of california. What is this sensor fusion thing this blog post is about sensor fusion. Scalable structurefree data fusion on wireless sensor networks. We present extensive simulations that verify the effectiveness of the proposed scheme. Introduction recent years have witnessed the deployments of wireless sensor networks wsns for many critical applications such as security surveillance 16, environmental monitoring 25, and target detectiontracking 21. In this method, each node is equipped with multiple sensors i. Data fusion privacy preserving algorithm based on failure.
Bayesian approach for data fusion in sensor networks. In this paper a multi sensor data fusion approach for wireless sensor network based on bayesian methods and ant colony optimization techniques has been proposed. Data fusion and topology control in wireless sensor networks. The focus of this work is to provide some hybrid data and decision fusion techniques for the estimation of parameters of pde models in wireless sensor networks. Reviewing the process of data fusion in wireless sensor network. An improved data fusion method iickpad for privacy protection. This paper highlights the advantages of data fusion and topology control in wireless sensor networks. In this paper an algorithm of data fusion to track both of nonmaneuvering and maneuvering targets with mobile sensors deployed in an wsn wireless sensor network is proposed and investigated. Data fusion, target detection, coverage, performance limits, wireless sensor network 1. Monitoring changes in operational scenarios via data fusion in sensor networks. Recent advancements in sensor technology, wireless networks and consequently wireless sensor networks and the increase in their applications in different fields have led to their great importance. Data fusion based on node trust evaluation in wireless sensor. A fuzzy data fusion solution to enhance the qos and the energy consumption in wireless sensor networks.
The term uncertainty reduction in this case can mean more accurate, more complete, or more dependable, or refer to the result of an emerging view, such as stereoscopic vision calculation. Keywords data fusion image sensor networks multipath routing wireless sensor networks m. This paper focuses on the coverage hole healing chh problem for big data collection in a largescale wireless sensor network lswsn. In order to reduce the data processing load on bs and efficiently distinguish the authenticity of archived data, izadi et al. We first divided the sensor field into several equal. Research article an anomaly detection based on data fusion. Dec 22, 2015 data fusion is the process of fusing or combining data from multiple data sources for the purpose of better inference. In this paper, we have presented a fuzzybased method for data fusion. The algorithm developed under this framework transmits effective volume of sensor data in. An approach to implement data fusion techniques in wireless. Timeselective data fusion for innetwork processing in ad hoc. An improved data fusion method iickpad for privacy. Data fusion is a critical step in designing a wireless sensor network as it handles data acquired by sensory devices.
Data fusion methods data compression wireless sensor. For the sake of avoiding the data abundance and balancing the energy consumption in wireless sensor networks, a data fusion clustering hierarchy based on data fusion chdf is proposed. Secure data fusion in wireless multimedia sensor networks via. Related issues study of wireless sensor network security data. Data fusion improves the coverage of wireless sensor networks. Healing coverage holes for big data collection in largescale. Selflearningbased data aggregation scheduling policy in wireless sensor networks with a reliance on mobility solutions for a widely dispersed base of employees and contractors, jesi clients depend on the travel data aggregation services enabled by traxo to keep track of employees at all times in places that can present safety challenges. An intelligent data gathering schema with data fusion supported for. Data fusion systems are now widely used in various areas such as sensor networks, robotics, video and image processing, and intelligent system design, to name a few. Data fusion in sensors is defined as the process 1.
A study on data fusion of wireless sensor networks. Data fusion based on node trust evaluation in wireless. A survey on routing protocols for wireless sensor networks by abbas mohammed and zhe yang we are intechopen, the worlds leading publisher of open access books. A new data fusion algorithm for wireless sensor networks inspired. The key contributions of the paper are summarized as follows. Abstractin wireless sensor networks, innetwork data fusion is needed for energyef.
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