Underwater Wireless Sensor Networks(UWSNs)are becoming increasingly popular in marine applications due to advances in wireless and microelectronics ***,UWSNs present challenges in processing,energy,and memory storage ...
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Underwater Wireless Sensor Networks(UWSNs)are becoming increasingly popular in marine applications due to advances in wireless and microelectronics ***,UWSNs present challenges in processing,energy,and memory storage due to the use of acoustic waves for communication,which results in long delays,significant power consumption,limited bandwidth,and packet *** paper provides a comprehensive review of the latest advancements in UWSNs,including essential services,common platforms,critical elements,and components such as localization algorithms,communication,synchronization,security,mobility,and *** significant progress,reliable and flexible solutions are needed to meet the evolving requirements of *** purpose of this paper is to provide a framework for future research in the field of UWSNs by examining recent advancements,establishing a standard platform and service criteria,using a taxonomy to determine critical elements,and emphasizing important unresolved issues.
With the development of various underwater applications, localization techniques of large-scale Underwater Wireless Sensor Networks (UWSNs) have played a more and more important role in these applications. In this pap...
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ISBN:
(纸本)9781479914067
With the development of various underwater applications, localization techniques of large-scale Underwater Wireless Sensor Networks (UWSNs) have played a more and more important role in these applications. In this paper, we introduce three localization algorithms for large-scale UWSNs: Node Discovery and localization Protocol (NDLP), Large-Scale Hierarchical localization Approach (LSHL) and localization Scheme for Large Scale underwater networks (LSLS). They are all distributed and range-based localization schemes. Moreover, we compare the localization algorithms in three parameters: localization coverage, localization error and average energy consumption. The simulation results demonstrate that LSLS outperforms LSHL and NDLP in terms of localization coverage. LSHL has lower localization error and energy consumption than LSLS in given conditions. NDLP has higher localization error and energy consumption than LSLS and LSHL, but it performs relatively well when the communication range of nodes is big enough.
Under the background of the Age of Big Ocean, much emphasis have been paid on the marine development and utilization of the ocean. So the Underwater Wireless Networks (UWSNs) have been attracted much attention in the ...
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ISBN:
(纸本)9781479914067
Under the background of the Age of Big Ocean, much emphasis have been paid on the marine development and utilization of the ocean. So the Underwater Wireless Networks (UWSNs) have been attracted much attention in the industrial community and the academic community. In this paper, we compare the performance of three localization algorithms: the DV-Hop, the 3D-RPE and the LSL which are suitable for many applications in the large scale UWSNs. The simulation results indicate that the average error and the average energy consumption of the DV-Hop are greater than those of the 3D-RPE and the LSL. In addition, the localization rate of the DV-Hop is affected by the trust value easily and only when the trust value is quite low, the localization rate can meet the requirement. In the same situation, the localization rate and the energy consumption of the 3D-RPE and the LSL are quite similar, while the average error of the LSL is smaller than that of the 3D-RPE.
Wireless sensor networks (WSNs) are broadly employed in lots of applications. WSN is comprised of spatially dispersed sovereign devices enabled with sensors to examine some physical phenomenon. The node localization, ...
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Wireless sensor networks (WSNs) are broadly employed in lots of applications. WSN is comprised of spatially dispersed sovereign devices enabled with sensors to examine some physical phenomenon. The node localization, which is to be responsive of nodes' location in the system, is a crucial component of numerous WSN functions and applications. Various localization algorithms have been proposed to precisely locate nodes in WSNs. The localization algorithms are normally categorized into range-based and range-free schemes based on range measurements. The range-based methods use exact computation measure (distance or time) among nodes in the network. So range-based methods need some additional hardware for such computation, thus expensive to be used in practice. Because of hardware constraints of sensor network devices, range-free methods are considered cost efficient alternatives. Though, these methods normally contain higher localization error in comparison with range-based methods. DV-Hop is an usual range-free method that use hop-based evaluation. In this article, we have modified DV-Hop method and applied a meta-heuristic (PSO) technique to overcome the positioning error. The algorithm has been implemented in MATLAB R2015a for the validation of results. The performance of implemented algorithm has been analyzed in terms of localization error, error variance, accuracy, and coverage. The results of modified algorithm confirm that our algorithm decreases the localization error and improved the localization accuracy as compared to DV-Hop and improved DV-Hop (IDV-Hop) algorithms.
In Underwater Wireless Sensor Networks (UWSNs), localization is one of most important technologies since it plays a critical role in many applications. Motivated by widespread adoption of localization, in this paper, ...
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In Underwater Wireless Sensor Networks (UWSNs), localization is one of most important technologies since it plays a critical role in many applications. Motivated by widespread adoption of localization, in this paper, we present a comprehensive survey of localization algorithms. First, we classify localization algorithms into three categories based on sensor nodes' mobility: stationary localization algorithms, mobile localization algorithms and hybrid localization algorithms. Moreover, we compare the localization algorithms in detail and analyze future research directions of localization algorithms in UWSNs.
Wireless Sensor Networks (WSNs) has acquired a well-known significance in the domain of sensor networks due to the advancement in past decade by the introduction of Internet of Things (IoT). WSNs comprises of sensor a...
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ISBN:
(纸本)9783030026837;9783030026820
Wireless Sensor Networks (WSNs) has acquired a well-known significance in the domain of sensor networks due to the advancement in past decade by the introduction of Internet of Things (IoT). WSNs comprises of sensor and the basic purpose of sensor is to collect, analyze and transmit the information to the target node/sensor. Therefore, it is necessary to identify target area of sensor node. In WSNs, it is achieved through applications of various algorithms and techniques known as localization techniques. These localization approaches help in determining the actual geographical location of sensor nodes. The main focus of this paper is to provide a comparative study of different localization techniques used in WSNs. This paper significantly helps the students, researchers and practitioners in this domain for selecting right localization technique as per the given WSNs requirements.
Sensor location plays an important role in wireless sensor networks (WSNs), so that developing sensor localization algorithms has gained much attention from both academia and industries. Among existing solutions, rang...
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ISBN:
(纸本)9783030050542;9783030050535
Sensor location plays an important role in wireless sensor networks (WSNs), so that developing sensor localization algorithms has gained much attention from both academia and industries. Among existing solutions, range-free localization algorithms, including the well-known DV-Hop algorithm, are a promising one due to its independence of any dedicated hardware, but usually suffer from low accuracy and high energy consumptions. In this paper, a novel localization algorithm based on the DV-Hop algorithm is proposed by trading off the overall energy consumption and localization accuracy. Unlike the traditional DV-Hop algorithm, the proposed algorithm replaces the stationary TTL-based mechanism by a dynamic and distributed mechanism. Specifically, provided that a new packet with TTL = 0 arrives, the current sensor will evaluate a coarse goodness value based on the Fisher Information Matrix (FIM), and then determines whether it is necessary to forward this packet to its neighboring sensors which are distant from the source anchor flooding this packet. As a result, the packets transmitted are significantly reduced, but the localization accuracy is not evidently degraded. To validate the proposed algorithm, simulations are conducted and demonstrate that the proposed algorithm significantly decreases network communications by an average of 25.71% and 55% compared to the traditional DV-Hop algorithm and the existing improved DV-Hop algorithms, respectively.
Location privacy is an increasing source of concern for wireless users since their positions can be unwittingly estimated by malicious eavesdroppers. Transmission power control (TPC) is one of the various obfuscation ...
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Location privacy is an increasing source of concern for wireless users since their positions can be unwittingly estimated by malicious eavesdroppers. Transmission power control (TPC) is one of the various obfuscation techniques mentioned in the literature with the potential to provide location privacy to wireless users. This technique consists of letting the user vary the mobile node's transmission power in a way that only the nearest eavesdropper can overhear the mobile node's signals. This variation reduces the number of eavesdroppers overhearing the mobile node's transmissions, thus increasing the location error estimated by nearby eavesdroppers, thereby improving the mobile user's location privacy. Although some works have highlighted the advantages of TPC as a location privacy technique, no previous work has studied its effectiveness considering wireless channel impairments, hardware limitations, and localization algorithms used by eavesdroppers. This paper analyzes the real value of using TPC as a location privacy technique through a probabilistic model that measures the ability of TPC to effectively reduce the number of overhearing eavesdroppers. The results presented in this work show that the effectiveness of TPC is considerably affected by wireless channel impairments as well as by eavesdroppers' density. Moreover, since off-the-shelf 802.11 radios have limited transmission power levels, real test-bed experiments showed that mobile users cannot always adjust their transmission power to fulfill the required levels of TPC. This is particularly the case in densely deployed scenarios in which most of the time the required transmission power is below the radio's minimum transmission level. These results demonstrate the limited location privacy capabilities of TPC in most real-life scenarios, thus disproving previous claims that place TPC as a solution for the location privacy problem. (C) 2019 Elsevier B.V. All rights reserved.
Position estimation is a crucial aspect of localization in Wireless Sensor Networks (WSNs) as estimated sensor location is used in many applications of WSNs. Various localization algorithms have been developed over th...
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ISBN:
(纸本)9781538644300
Position estimation is a crucial aspect of localization in Wireless Sensor Networks (WSNs) as estimated sensor location is used in many applications of WSNs. Various localization algorithms have been developed over the time for obtaining the highest precision in location estimation. The main idea in most of the popular algorithms is to estimate the position of sensors with help of some special beacon nodes with known coordinates. Favorable method that provides a better accuracy with lowest network cost is to replace all special beacons with a single beacon equipped with GPS unit. In this case, the fundamental problem is to design a trajectory that the mobile beacon should follow which minimizes the localization error. In this paper, we provide an up-to-date state-of-the-art of the most important anchor node trajectories designed to localize static sensors. We have evaluated the performance of the existing schemes through a series of simulations in MATLAB. Furthermore, we highlight some issues experienced by these techniques.
Choosing the localization algorithm in superresolution microscopy is an important factor in determining the resolution in such a modality. The point spread function (PSF) in defocused images has ring structures that c...
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Choosing the localization algorithm in superresolution microscopy is an important factor in determining the resolution in such a modality. The point spread function (PSF) in defocused images has ring structures that can be used to localize the three-dimensional (3-D) position of single particles by calculating the ring center (x and y) and radius (z). As there is no well-developed mathematical model for a defocused PSF, it is difficult to perform a fitting-based algorithm in such images. A particle localization algorithm based on radial symmetry and ellipse fitting is developed to localize the centers and radii of defocused PSFs. Our method can localize the 3-D position of a fluorophore within 20-nm precision in three-dimensions in a range of 40 mu m in z-dimension from defocused two-dimensional (2-D) images. (C) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
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