A location-based clustering algorithm for data gathering in 3D underwater Wireless Sensor Networks

Anupama, K. R.; Sasidharan, Aparna; Vadlamani, Supriya

doi:10.1109/istel.2008.4651325

Cited by 56 publications

(46 citation statements)

References 4 publications

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“…Furthermore, acoustic channels also required more energy for communication than terrestrial network [21], [22]. Batteries in UWSN cannot be recharged or replaced therefore use of energy efficient communication is always required to provide network with higher life time [14].…”

Section: Constraints In Underwater Wireless Sensor Networkmentioning

confidence: 99%

“…Routing protocols basically need the assumption of sensor nodes in underwater sensor networks [2]. In localization based routing protocols a node need the information of all the network nodes as well as of sink like in this scenario prior network information is needed for a node [8], [24], [21]. In [25], Focused Beam routing protocol requires geographical information of itself and as of destination.…”

Section: Related Workmentioning

confidence: 99%

“…Most of the localization protocols work on flooding phenomenon and are considered to have fast packet delivery ratio and low end to end delay [14], [20]. In [21], Depth base routing does not need any pre network information. It just take the depth of sensor nodes into account and forward a packet.…”

Section: Related Workmentioning

confidence: 99%

“…Which are energy management unit, data sensing unit, depth measuring unit, communication unit and central processing unit [21]. As show in 2.…”

Section: Node Architecturementioning

confidence: 99%

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Comparison of Localization Free Routing Protocols in Underwater Wireless Sensor Networks

Khalid¹,

Adnan²,

Ullah³

et al. 2017

ijacsa

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Abstract-Underwater Wireless Sensor Network (UWSN) is newly developed branch of Wireless Sensor network (WSN).UWSN is used for exploration of underwater resources, oceanographic data collection, flood or disaster prevention, tactical surveillance system and unmanned underwater vehicles. UWSN uses sensors of small size with a limited energy, memory and allows limited range for communication. Due to multiple differences from terrestrial sensor network, radio waves cannot be used over here. Acoustic channel are used for communication in deep water, which has many limitations like low bandwidth, high end to end delay and path loss. With the above limitations while using acoustic waves, it is very important to develop energy efficient and reliable protocols. Energy efficient communication in underwater networks has become uttermost need of UWSN technology. The main aim nowadays is to operate sensor with smaller battery for a longer time. This paper will analyse various routing protocols in the area of UWSN through simulation. This paper will analyse Depth Based Routing (DBR), Energy Efficient Depth Based Routing (EEDBR) and Hop by Hop Dynamic Addressing Based (H2-DAB) protocol through simulation. This comparison is carried out on the basis of total consumed energy, end to end delay, path loss and data delivery ratio.

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Section: Constraints In Underwater Wireless Sensor Networkmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

“…Which are energy management unit, data sensing unit, depth measuring unit, communication unit and central processing unit [21]. As show in 2.…”

Section: Node Architecturementioning

confidence: 99%

See 2 more Smart Citations

Comparison of Localization Free Routing Protocols in Underwater Wireless Sensor Networks

Khalid¹,

Adnan²,

Ullah³

et al. 2017

ijacsa

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“…The authors of this research paper have suggested that a 3D girds network structure for LCAD routing protocol [7]. The size of each gird has been adapted in 3D form measured in meters as 30×40×50.…”

Section: Protocol Operationmentioning

confidence: 99%

Energy Efficient Routing Protocols for Underwater Wireless Sensor Networks: A Review

Ahmed

Salleh²,

Channa

et al. 2017

TELKOMNIKA

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Autonomous underwater vehicles support for enhanced performance in the Internet of underwater things

Al-Bzoor

Al‐assem

Alawneh

et al. 2021

Trans Emerging Tel Tech

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The Internet of underwater things (IoUT) has become a promising and vibrant paradigm which mainly relies on the underwater acoustic wireless sensor networks (UASN). IoUT was first proposed to facilitate offshore real-time monitoring and exploration of underwater environments. It is now becoming a key component for building and connecting the futuristic underwater smart cities. However, Acoustic waves used in underwater communication suffer from long propagation delays and high transmission energy requirements. Therefore, approaches for autonomous underwater vehicle (AUV) assisted data collection and cluster-based routing were proposed to overcome these drawbacks. In this article, we present a smart genetic-based AUV path planning algorithm for data collection to enhance the performance of UASN. In addition, we combine our smart data collection technique with a dynamic location-unaware clustering algorithm to further reduce energy consumption with mobility consideration. Our simulation results showed that our genetic-based technique achieves more than 145% increase in network lifetime and almost a 75% reduction in energy expenditure compared with traditional diagonal path selection technique. More simulations comparing our combined technique with a novel clustering technique showed that the network lifetime is twice as better, total energy consumption is nearly 30% less, and the delivery ratio is 15% more at low densities. K E Y W O R D S acoustic wireless sensor networks, autonomous underwater vehicles, clustering, Internet of underwater things, underwater communications Recently, the Internet of things (IoT) has gained the attention and interest of the scientific, engineering, and industrial communities. In IoT, smart devices from different heterogeneous systems are connected and controlled over the Internet to exchange important data for several purposes. 1 IoT can be further extended and established in oceans, seas, and big rivers to form the Internet of underwater things (IoUT). 2,3 IoUT is a promising field for a vast number of applications such as tsunami early warning systems, connecting offshore oil and gas platforms, real-time tracking of the submarine ecosystem, and analyzing waste and pollution of specific underwater environments. 4

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A location-based clustering algorithm for data gathering in 3D underwater Wireless Sensor Networks

Cited by 56 publications

References 4 publications

Comparison of Localization Free Routing Protocols in Underwater Wireless Sensor Networks

Comparison of Localization Free Routing Protocols in Underwater Wireless Sensor Networks

Energy Efficient Routing Protocols for Underwater Wireless Sensor Networks: A Review

Autonomous underwater vehicles support for enhanced performance in the Internet of underwater things

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