An energy-efficient data collection protocol with AUV path planning in the Internet of Underwater Things

Khan, Muhammad Toaha Raza; Ahmed, Syed Hassan; Jembre, Yalew Zelalem; Kim, Dongkyun

doi:10.1016/j.jnca.2019.02.025

Cited by 54 publications

(31 citation statements)

References 13 publications

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“…1) Offline Path Planning: M.T.R.Khan et al proposed four methods for fixed grid areas: shortest path with the genetic algorithm, Lowest Energy Cluster First (LECF), On-the-way-Lowest Energy Cluster First (OLECF) and On-the-way Lowest Mean Energy Cluster First (OLMECF) [132]. On-the-way means that if the AUV finds any other cluster on its journey to the destination cluster, it first visits and communicates with the intermediate cluster before moving to the destination.…”

Section: A Path Planningmentioning

confidence: 99%

“…1) Sink Selection: This mainly refers to the selection of cluster heads and gateway nodes, which take out more transmission and forwarding tasks than ordinary nodes. With the help of an AUV, the clustering algorithm and gateway nodes selection can be further optimized as the following: a) Clustering Algorithm: Utilizing the location information, [132], [141] divide the overall sensing area into homogeneous square grids and sensor nodes are aware of their attribution. Each grid has a Cluster Centroid Point (CCP) as the destination for the AUV in which all nodes belonging to this area can communicate with the upcoming AUV.…”

Section: B In-situ Decisionmentioning

confidence: 99%

See 1 more Smart Citation

Reliable Data Collection Techniques in Underwater Wireless Sensor Networks: A Survey

Wei

Guo

Wang

et al. 2022

IEEE Commun. Surv. Tutorials

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Reliable data collection techniques, whose aim is to ensure that sensed data are received successfully by a sink, are essential for applications in Underwater Wireless Sensor Networks (UWSNs). However, traditional data collection with Radio Frequency (RF) functions poorly in UWSNs due to peculiar features of underwater. Moreover, acoustic communication creates challenges for the reliability of data collection such as high bit error rate, packet collision and voids in routing. Furthermore, the deployment of Autonomous Underwater Vehicles (AUVs) in some scenarios changed the paradigm of data collection and introduced new issues that affect reliability such as inaccurate navigation and lengthy travel time. Consequently, numerous studies focus on the relative reliability of various currently available data collection in UWSNs. In this paper, we first review the problems specific to UWSNs and their impact on reliable data collection. It is followed by a discussion about characteristics, challenges, and features associated with the design of reliable techniques in UWSNs. Afterward, to provide readers with an overview of reliable data collection techniques in UWSNs, this paper categorizes them according to their ability to enhance reliability at all the key stages of data collection. In this categorization framework, the advantages and disadvantages of each technique have been in-depth discussed. Finally, several possible areas for further research are identified and discussed.

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Section: A Path Planningmentioning

confidence: 99%

Section: B In-situ Decisionmentioning

confidence: 99%

Reliable Data Collection Techniques in Underwater Wireless Sensor Networks: A Survey

Wei

Guo

Wang

et al. 2022

IEEE Commun. Surv. Tutorials

View full text Add to dashboard Cite

show abstract

“…Assuming that a ME collects data from n sensor nodes before going back to the sink, and the length of exchanged data between the sensor nodes and the ME is L (bytes), then the minimum ME buffer size required to avoid buffer overflow is nL (bytes). 17,19,20,23,24,29,31,32,[39][40][41]44,47,[49][50][51][52]55,[58][59][60][61][66][67][68][69][70][71]75,77,81,84,85,[87][88][89][90][92][93][94]100,102,104,106,107,111,112,114,116,11...…”

Section: Me Buffer Sizementioning

confidence: 99%

A systematic literature review on mobility in terrestrial and underwater wireless sensor networks

Ghanem

Mansoor

Ahmad

2021

Int J Communication

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Wireless sensor network (WSN) is one of the most significant technologies that gets much attention from researchers due to its promising applications in various environments. Mobility in wireless sensor networks contributes significantly to improving the performance of terrestrial wireless sensor networks (TWSNs) and underwater wireless sensor networks (UWSNs). This research's primary goal is to highlight the roles of mobility and mobile element tasks in enhancing terrestrial and underwater wireless sensor networks. Our systematic literature review (SLR) analyzed studies published between the periods of 2003 and January 2020. Out of 1762 studies retrieved by searching six online digital libraries and other resources, only 107 of them were selected for primary studies based on selection criteria and relevant to three identified research questions. This was followed by data extraction from the primary studies for answering the three SLR questions. The study reveals that mobility plays an essential role in improving network performance in TWSNs and UWSNs, especially in the aspects of coverage, energy efficiency, throughput, and connectivity. The study also identifies the tasks of the mobile elements in TWSNs and UWSNs, including data collection, localization, and charging. Moreover, it demonstrates the parameters of the mobile elements that should be considered when building networks. Finally, this study concludes by highlighting some open research issues that can be considered for future research.

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“…In [28], [29] authors proposed multipath virtual sink (MVS) schemes, where numerous nearby sinks nodes are associated with a system by means of rapid connections of the underwater network based on forwarder dependent hop count schemes. However, this system experiences numerous repetitive transmissions which lead to low PDR and network overhead with more Energy utilization.…”

Section: Literature Surveymentioning

confidence: 99%

Adaptive Energy Aware Quality of Service for Reliable Data Transfer in Under Water Acoustic Sensor Networks

et al. 2019

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Currently, reliable data transfer, and energy management have been considered as a significant research challenge in the underwater acoustic sensor networks (UWASN) owing to high packet loss, limited ratio of bandwidth with significant incur of energy, network life time with high propagation delay, less precision with high data hold time and so on. Energy saving and maintaining quality of service (QoS) is more important for UWASN owing to QoS application necessity and limited sensor nodes. To address this issue, several existing algorithms such as adaptive data forwarding algorithms, QoS-based congestion control algorithms and several methodologies were proposed with high throughput and less network lifetime as well as the less utilization of energy in UWASN by choosing sensor nodes data based on data transfer and link reliability. However, all the conventional algorithms have fixed data hold time, which incurs more end-to-end delay with less reliability of data and consumption of high energy due to high data transfer reachability. This high end research proposes adaptive energy aware quality of service (AEA-QoS) algorithm for reliable data delivery by formulating discrete times stochastic control process and deep learning techniques for UWSAN to overcome these issues. The proposed algorithm has been validated with conventional state-of-the-art methods and results show that the proposed approach exhibits its effectiveness in terms of less network overhead and propagation delay with high throughput and less energy consumption for every reliable packet transmission.INDEX TERMS Under water acoustic sensor networks, reliable data transfer, quality of service (QoS), deep learning.

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An energy-efficient data collection protocol with AUV path planning in the Internet of Underwater Things

Cited by 54 publications

References 13 publications

Reliable Data Collection Techniques in Underwater Wireless Sensor Networks: A Survey

Reliable Data Collection Techniques in Underwater Wireless Sensor Networks: A Survey

A systematic literature review on mobility in terrestrial and underwater wireless sensor networks

Adaptive Energy Aware Quality of Service for Reliable Data Transfer in Under Water Acoustic Sensor Networks

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