Feedback-Based Target Localization in Underwater Sensor Networks: A Multisensor Fusion Approach

Yan, Jing; Xu, Ziqiang; Luo, Xiaoyuan; Chen, Cailian; Guan, Xinping

doi:10.1109/tsipn.2018.2866335

Cited by 49 publications

(19 citation statements)

References 46 publications

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“…The proposed scheme takes into account different performance degradation factors such as noise, mobility and communication overhead and provides solutions in order to achieve considerable improvement in convergence time, energy consumption and location errors. In [59], the authors propose a feedback based approach for target location estimation in UWSNs. The localization procedure is carried out in two steps.…”

Section: Figure 10 An Example Of 2-hop Transmission Power Calculatiomentioning

confidence: 99%

A Comprehensive Survey of the Recently Proposed Localization Protocols for Underwater Sensor Networks

Islam

Park

2020

IEEE Access

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Underwater Wireless Sensor Networks (UWSNs) offer a huge number of applications, most of which require tagging the sensed data with location information. This makes localization algorithms an essential part of UWSN design. This paper presents a comprehensive survey of the recently proposed literature on localization in UWSNs. The surveyed algorithms are evaluated based on a wide-ranging set of parameters which constitute the elementary features of a localization algorithm. Moreover, in order to familiarize the readers with the basic design of the surveyed algorithms, brief description of the mode of operations of each algorithm is presented along with its strengths and weaknesses. The algorithms are divided into two categories based on their computational design i.e., centralized and distributed. Each category is further subdivided into the algorithms that consider node mobility, and those that do not. Towards the end, we present our view on the future research directions in the area of localization in UWSNs.

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Section: Figure 10 An Example Of 2-hop Transmission Power Calculatiomentioning

confidence: 99%

A Comprehensive Survey of the Recently Proposed Localization Protocols for Underwater Sensor Networks

Islam

Park

2020

IEEE Access

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“…Zhang et al 35 analyzed the influence of node position structure on target tracking accuracy, and used Posteriori Cramer–Rao Lower Bound (PCRLB) to measure the measurement information under various node position structures, and selected the node subnet that constituted the optimal position structure for target tracking, so as to improve the target tracking accuracy and reduce the energy consumption at the same time. Yan et al 36 modeled the acquisition of distance measurement as a closed-loop control problem, and accurate distance measurement was obtained by designing a proportional integral estimator, and a consensus-based traceless Kalman filter was proposed for estimation to obtain a more accurate target state.…”

Section: Related Workmentioning

confidence: 99%

Mobile target localization based on iterative tracing for underwater wireless sensor networks

Guo

Qin

Zhao

et al. 2020

International Journal of Distributed Sensor Networks

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In underwater wireless sensor networks, sensor position information has important value in network protocols and collaborative detection. However, many challenges were introduced in positioning sensor nodes due to the complexity of the underwater environment. Aiming at the problem of the stratification effect of underwater acoustic waves, the long propagation delay of messages, as well as the mobility of sensor nodes, a mobile target localization scheme for underwater wireless sensor network is proposed based on iterative tracing. Four modules are established in the mobile target localization based on iterative tracing: the data collection and rough position estimation, the estimation and compensation of propagation delay, the node localization, and the iteration. The deviation of distance estimation due to the assumption that acoustic waves propagate along straight lines in an underwater environment is compensated by the mobile target localization based on iterative tracing, and weighted least squares estimation method is used to perform linear regression. Moreover, an interacting multiple model algorithm is put forward to reduce the positioning error caused by the mobility of sensor nodes, and the two services of node time synchronization and localization assist each other during the iteration to improve the accuracy of both parties. The simulation results show that the proposed scheme can achieve higher localization accuracy than the similar schemes, and the positioning errors caused by the above three problems can be reduced effectively.

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“…All the receivers are not time-synchronized, so it is problematic for all the receivers in the underwater environment to keep all the clock time-synchronized. Moreover, a closed-loop problem (where the estimation of distance is served as a response variable) is investigated for underwater target localization [26], which deem the moving and high noise physical characteristics of the underwater field. Accordant with the control theory, proportional integral reckoner is made for sensor nodes to collect the distance information via indirect estimations.…”

Section: Related Workmentioning

confidence: 99%

Efficient and Accurate Target Localization in Underwater Environment

Ullah

Liu

et al. 2019

IEEE Access

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Localization is the basic feature of wireless sensor networks (WSN) and estimating the time difference of arrival (TDoA), and angle of arrival (AoA) is the most used schemes for localization. Underwater wireless sensor network (UWSN) is extensively used for data collection in an underwater environment for both military and civilian applications. Nevertheless, efficient and accurate localization algorithms are essential for the UWSN because of the dynamical property of the underwater surrounding. Also, data management, collection, and processing for WSNs have become a more active topic nowadays in computer science, such as database system and data mining. The objective of deploying the WSNs applications is to collect the real-time data, which has very challenging due to the capacity of communication and high data generated by WSNs. For this purpose, the time and location are the basic aspects when a sensor collects data, especially for the case of location-aware data. Many researchers have studied the underwater sensor nodes localization and they have considered the sensor location where the data is collected and most of them focused on the fixed sensor nodes. In this research work, energy efficient and accurate localization schemes are presented named as distance-based and angle-based schemes for the underwater environment with relatively less energy consumption and mean estimation errors (MEEs). The proposed schemes mainly focus on the localization of underwater nodes and especially on the MEEs in localization. The extensive simulation is performed to compare the proposed schemes with other counterpart schemes. The results show that the proposed schemes outperform other counterpart schemes in terms of MEEs of localization and energy consumption. INDEX TERMS Underwater wireless sensor networks (UWSNs), underwater localization, underwater acoustic sensor networks (UASNs). I. INTRODUCTION Water has covered 70 % of the land surface; basically, water is an infrequent substance that characterizes just 0.05 % of the land entire mass. However, water always plays an important role in the appearance of life on earth and especially for the living organism. The earth would be considered as a dead planet without the existence of water. The Underwater environment is still not well explored and researched for the betterment of human being life. Nowadays underwater communication technology has become an important part of our daily life and attracted more attention due to its broad applications in underwater. Those applications The associate editor coordinating the review of this manuscript and approving it for publication was Chun-Wei Tsai. include control systems, environmental monitoring, navigation and many more. Underwater Acoustic Sensor Networks (UASN) knowledge delivers novel openings to discover the underwater environment and as a consequence it expands our understanding of the environmental problems that we face in daily life, such as climate changes, animals life in oceans and the continuous changes in the inhabitants...

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Feedback-Based Target Localization in Underwater Sensor Networks: A Multisensor Fusion Approach

Cited by 49 publications

References 46 publications

A Comprehensive Survey of the Recently Proposed Localization Protocols for Underwater Sensor Networks

A Comprehensive Survey of the Recently Proposed Localization Protocols for Underwater Sensor Networks

Mobile target localization based on iterative tracing for underwater wireless sensor networks

Efficient and Accurate Target Localization in Underwater Environment

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