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Proceedings ArticleDOI

A sweeper scheme for localization and mobility prediction in underwater acoustic sensor networks

TLDR
This paper proposes a sweeper scheme for localization of sensor nodes and also a mobility prediction scheme which helps in calculating the position of the sensor nodes at regular intervals and can handle network Dynamics efficiently with the assistance of a localization service.
Abstract
In underwater sensor networks (UWSNs), determining the location of every sensor is important. The process of estimating the location of each node in a sensor network is known as localization. While various localization algorithms have been proposed for terrestrial sensor networks, there are relatively few localization schemes for UWSNs. Since the sensor nodes are in underwater, they are prone to a high dynamic environment due to sea waves. The position of the underwater sensor nodes keep changing due to external factors and harsh physical environment. In this paper we propose a sweeper scheme for localization of sensor nodes and also a mobility prediction scheme which helps in calculating the position of the sensor nodes at regular intervals. A key advantage of our scheme is that it can handle network Dynamics efficiently with the assistance of a localization service. Moreover, the scheme does not need a multiple-sink under water sensor network architecture for data gathering.

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Citations
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Journal ArticleDOI

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

TL;DR: A comprehensive survey on the current state‐of‐the‐art research on both terrestrial and underwater localization approaches for sensor‐based MTC devices is presented, which classifies localization approaches based on several factors, identifies their limitations with potential solutions, and compares them.
Journal ArticleDOI

Delay Tolerance in Underwater Wireless Communications: A Routing Perspective

TL;DR: A comprehensive survey of underwater routing protocols with emphasis on the limitations, challenges, and future open issues in the context of delay tolerant network routing is provided.
Journal ArticleDOI

Development of Underwater Monitoring Wireless Sensor Network to Support Coral Reef Observation

TL;DR: The hardware configuration of a latest prototype of wireless sensor node, based on previous experiments and the comments of coral reef researchers, is described and a browsing system of gathered information by the sensor network is described.
Proceedings ArticleDOI

A factoring algorithm for probabilistic localization in Underwater Sensor Networks

TL;DR: This paper formalizes a problem called the Probabilistic Localization Problem (P-LOC) that calls for computing the probability that a given target node in a given probabilistic graph can localize itself during some interval of time and devise an iterative algorithm that gives exact solution to the problem if allowed to execute a sufficient number of iterations.
Proceedings ArticleDOI

A Graph Theoretic Approach to Localization under Uncertainty

TL;DR: A graph theoretic approach based on embedding a graph model of a given UWSN in a special graph, called a k-tree, is devised, which is exact and runs in polynomial time, for any fixed k.
References
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Journal ArticleDOI

Underwater acoustic sensor networks: research challenges

TL;DR: In this paper, several fundamental key aspects of underwater acoustic communications are investigated and a cross-layer approach to the integration of all communication functionalities is suggested.

Range-Free Localization Schemes for Large Scale Sensor Networks 1

TL;DR: This paper presents APIT, a novel localization algorithm that is range-free, and shows that the APIT scheme performs best when an irregular radio pattern and random node placement are considered, and low communication overhead is desired.
Proceedings ArticleDOI

Range-free localization schemes for large scale sensor networks

TL;DR: In this paper, the authors present APIT, a novel localization algorithm that is range-free, which performs best when an irregular radio pattern and random node placement are considered, and low communication overhead is desired.
Proceedings ArticleDOI

Localization for mobile sensor networks

TL;DR: This paper introduces the sequential Monte Carlo Localization method and argues that it can exploit mobility to improve the accuracy and precision of localization.
Journal ArticleDOI

The challenges of building mobile underwater wireless networks for aquatic applications

TL;DR: The conclusion is that building scalable mobile UWSNs is a challenge that must be answered by interdisciplinary efforts of acoustic communications, signal processing, and mobile acoustic network protocol design.
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