An Area Localization Scheme for Large Scale Underwater Wireless Sensor Networks

Yi, Zhou; He, Junjia; Chen, Kai; Chen, Jianbo; Liang, Alei

doi:10.1109/cmc.2009.371

Cited by 32 publications

(23 citation statements)

References 10 publications

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“…However, several existing approaches determine the area where an MTC device is located. Thus, 3D-MALS localization approach [72] is used that can compute the area of a sensor's location in 3D space. Anchor nodes broadcast their positions.…”

Section: Area-based Approachesmentioning

confidence: 99%

Localization in terrestrial and underwater sensor‐based m2m communication networks: architecture,classification and challenges

Karim

Mahmoud

Anpalagan

et al. 2015

Int J Communication

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Localizing machine-type communication (MTC) devices or sensors is becoming important because of the increasing popularity of machine-to-machine (M2M) communication networks for location-based applications. These include such as health monitoring, rescue operations, vehicle tracking, and wildfire monitoring. Moreover, efficient localization approaches for sensor-based MTC devices reduce the localization error and energy consumption of MTC devices. Because sensors are used as an integral part of M2M communication networks and have achieved popularity in underwater applications, research is being conducted on sensor localization in both underwater and terrestrial M2M networks. Major challenges in designing underwater localization techniques are the lack of good radio signal propagation in underwater, sensor mobility management, and ensuring network coverage in 3D underwater M2M networks. Similarly, predicting the mobility pattern of MTC devices, trading-off energy consumption and location accuracy pose great design challenges for terrestrial localization techniques. This article presents a comprehensive survey on the current state-of-the-art research on both terrestrial and underwater localization approaches for sensor-based MTC devices. It also classifies localization approaches based on several factors, identifies their limitations with potential solutions, and compares them.

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Section: Area-based Approachesmentioning

confidence: 99%

Localization in terrestrial and underwater sensor‐based m2m communication networks: architecture,classification and challenges

Karim

Mahmoud

Anpalagan

et al. 2015

Int J Communication

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“…[14]. In this paper, we propose an improved localization scheme for non-ideal channel propagation conditions.…”

Section: Introductionmentioning

confidence: 98%

An range-free localization scheme for large scale underwater wireless sensor networks

Chen

et al. 2009

J. Shanghai Jiaotong Univ. (Sci.)

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In this paper, we study an area localization problem in large scale underwater wireless sensor networks (UWSNs). The limited bandwidth, the severely impaired channel and the cost of underwater equipment all make the underwater localization problem very challenging. Exact localization is very difficult for UWSNs in deep underwater environment. We propose a range free method based on mobile detachable elevator transceiver (DET) and 3D multi-power area localization scheme (3D-MALS) to address the challenging problem. In the proposed scheme, the ideas of 2D multi-power area localization scheme (2D-ALS) and utilizing DET are used to achieve the simplicity, location accuracy, scalability and low cost performances. The DET can rise and get down to broadcast its position. And it is assumed that all the underwater nodes underwater have pressure sensors and know their z coordinates. We evaluate the performances of 2D-ALS and our proposed 3D-MALS schemes under both ideal and non-ideal channel propagation conditions, in terms of localization error and localization ratio. The simulation results show that our proposed scheme is much more efficient than the 2D-ALS.

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“…[15] proposed to have the anchor node information broadcasted and forwarded using different power levels so that hop count can provide better estimate for distance. Transmitting in multiple power levels is also proposed in [19] to provide rough area localization for underwater sensors. Finally, [18] proposed to use transmission power adjustment to verify location claims from new devices.…”

Section: Related Workmentioning

confidence: 99%

Characterizing the impact of multi-frequency and multi-power on localization accuracy

Zheng

Liu

Yang

et al. 2010

The 7th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (IEEE MASS 2010)

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Abstract-Wireless localization using the received signal strength (RSS) can have tremendous savings over using specialized positioning infrastructures. In this work, we explore improving RSS localization performance in multipath environments by varying the transmitter's signal power and frequency. Using a theoretical analysis, we first show how selection of different signal powers and frequencies can improve localization accuracy for the least squares algorithm. We next develop a set of selection methods that attempt to select the combinations of power and frequencies which minimize the localization error. Our selection methods are based on the observed standard deviations of RSS as well as algorithm specific residuals. Using active RFID tags, we experimentally characterize the effect of using multiple signal powers and frequencies on a wide spectrum of RSS-based algorithms. We found that the performance of all the algorithms improves when leveraging on multiple power levels and frequencies, although different algorithms present different sensitivity in terms of localization accuracy under different selection methods.

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An Area Localization Scheme for Large Scale Underwater Wireless Sensor Networks

Cited by 32 publications

References 10 publications

Localization in terrestrial and underwater sensor‐based m2m communication networks: architecture,classification and challenges

Localization in terrestrial and underwater sensor‐based m2m communication networks: architecture,classification and challenges

An range-free localization scheme for large scale underwater wireless sensor networks

Characterizing the impact of multi-frequency and multi-power on localization accuracy

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