An Enhanced Path Planning Model for Anchor-Free Localization in Wireless Sensor Networks

Mishra, Tapas Kumar; Kumar, Sitanshu; Dass, Ashish Kumar

doi:10.1109/icit.2018.00050

Cited by 2 publications

(2 citation statements)

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“…D. N. Sandeep et al has proposed the connectivity and coverage issue which is more important while position estimation [7]. A Comprehensive Review of Path Planning Algorithms has proposed and all the existing algorithms pros and cons were conferred [8].An efficient way of localization using mobile beacon node or AUV has proposed [9,10]. H. M. Georges et al…”

Section: Literature Reviewmentioning

confidence: 99%

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Obstacle based Anchor-FreeNodeLocalization in Under-Water Wireless Sensor Networks

Dass

2023

Preprint

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Settle on the position of unknown sensors node called as localization process which is a serious concern in underwater wireless sensor network(UWSN) as it engross for different applications. As the anchor-based technique is expensive as well as very diminutive life-time researchers propose for anchor-free localization algorithms specially by designing a path for an Autonomous Underwater Vehicle (AUV) to maximize the location of accuracy as well as to reduce energy consumption. Many path planning proposals degrade their performance when there exist obstacles in the pathway of AUV. Hence, in this article we proposed a dynamic anchor free AUV based (DAFA) algorithm which determine the obstacle dynamically and change its path in accordance and the observed location of sensors node with accuracy in minimization of error, maximize the nodes settled and with minimum energy consumption. The simulation of the proposed model outperforms better than available traditional algorithms.

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Section: Literature Reviewmentioning

confidence: 99%

“…After determination of the communication range r of the AUV, beacon points need to be deployed. Because the localization error of regular triangle is optimal [10]. Thus, if each unknown node can be covered by a regular triangle, its localization accuracy will be improved.…”

Section: Deployment Of Auvmentioning

confidence: 99%

Obstacle based Anchor-FreeNodeLocalization in Under-Water Wireless Sensor Networks

Dass

2023

Preprint

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An Intelligent Agent-Based Localization System in Underwater Wireless Sensor Networks

Dass

Das

Pattanaik

2023

Constraint Decision-Making Systems in Engineering

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Underwater wireless sensor networks (UWSN) comprise of numerous relatively low-cost, self-organizing, and static as well as mobile sensor nodes. The wireless sensor node is used to sense natural phenomenon in terms of humidity, temperature, etc. BS is used to collect required information with proper location information from the sensor nodes and process it for future references. The problem of localization in underwater sensor nodes has led to proposal of many techniques over the past few decades. In this chapter, an intelligent scan model method has been proposed for localization system under UWSN. The localization system is used to identify the actual location of sensor node for identifying sense data properly trough Data MULE (mobile ubiquitous LAN extensions), which is an unmanned floating vehicle that has a sufficient amount of storage area and rechargeable energy to store the data of the sensors in the field. Finally, the proposed method is compared with existing method and outperforms the results efficiently.

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An Enhanced Path Planning Model for Anchor-Free Localization in Wireless Sensor Networks

Cited by 2 publications

References 11 publications

Obstacle based Anchor-FreeNodeLocalization in Under-Water Wireless Sensor Networks

Obstacle based Anchor-FreeNodeLocalization in Under-Water Wireless Sensor Networks

An Intelligent Agent-Based Localization System in Underwater Wireless Sensor Networks

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