An Efficient Data-Gathering Routing Protocol for Underwater Wireless Sensor Networks

Javaid, Nadeem; Ilyas, Naveed; Ahmad, Ashfaq; Alrajeh, Nabil; Qasim, Umar; Khan, Zahoor Ali; Liaqat, Tayyaba; Khan, Majid Iqbal

doi:10.3390/s151129149

Cited by 63 publications

(38 citation statements)

References 19 publications

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“…Authors in [18] described several factors which affects in the underwater communication environment. Routing task is more challenging in underwater environment as compared to terrestrial WSNs hence An Efficient Data Gathering www.ijacsa.thesai.org (AEDG) as a new routing protocol been introduced in UWSNs for the reliable data delivery of data.…”

Section: Aedgmentioning

confidence: 99%

“…Routing task is more challenging in underwater environment as compared to terrestrial WSNs hence An Efficient Data Gathering www.ijacsa.thesai.org (AEDG) as a new routing protocol been introduced in UWSNs for the reliable data delivery of data. AEDG implies Autonomous Underwater Vehicle for collecting data from gateways while associating sensor nodes with the gateway to prolong network lifetime and used Shortest Path Tree (SPT) algorithm [18].…”

Section: Aedgmentioning

confidence: 99%

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A Recent Study on Routing Protocols in UWSNs

Ahsan¹,

Ahmed²,

Khan³

et al. 2017

ijacsa

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Abstract-Recent research has seen remarkable advancement in the field of Under Water Sensor Networks (UWSNs). Many different protocols are developed in the recent years in this domain. As these protocols can be categorized in a variety of ways according to the mechanisms and functionalities they follow, hence it becomes important to understand their principal working. In this research we have introduced three analysis methods; Clustering based, Localization based and Cooperation based routing by selecting some recent routing protocols in the field of UWSN and presented a comparative analysis according to the categories in which they lie. This research has been taken theoretically and is qualitative one. Also a detail analysis of their key advantages and flaws are also identified in this research.

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Section: Aedgmentioning

confidence: 99%

Section: Aedgmentioning

confidence: 99%

A Recent Study on Routing Protocols in UWSNs

Ahsan¹,

Ahmed²,

Khan³

et al. 2017

ijacsa

View full text Add to dashboard Cite

show abstract

“…AEDG [15] discusses the elliptical trajectory of AUV horizontal polling. According to the selection area of underwater gateway nodes, the radius parameter of ellipse is discussed, which can be used to optimize the AUV polling trajectory based on changes in the gateway.…”

Section: Related Workmentioning

confidence: 99%

“…Therefore, the staying time of the AUV should be proportional to the number of nodes of the gateway members. Compared to the AEERP algorithm, AAEERP has lower power consumption and higher data collection capabilities.AEDG [15] discusses the elliptical trajectory of AUV horizontal polling. According to the selection area of underwater gateway nodes, the radius parameter of ellipse is discussed, which can be used to optimize the AUV polling trajectory based on changes in the gateway.…”

mentioning

confidence: 99%

Untitled

2017

IRATJ

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The communication process in Underwater Acoustic Sensor Networks (UASNs) is susceptible to interference, which leads to higher latency and Bit Error Ratio (BER). The Autonomous Underwater Vehicle (AUV) polling to collect data has been used to provide reliable transmission of data and extend the network lifecycle. The target events underwater are random appeared. In order to effectively capture the target event, an algorithm for the AUV polling to collect data with online prediction is proposed, namely RCAP (Reliable Collection based on AUV with Prediction). Firstly, the polling objects to AUV should be determined. The clustered network structure is established. The cluster head will be polled by the AUV to transfer the data from the cluster. Secondly, the forecast model is build. The first N rounds of data collected are the historical data. Using the historical data, the data of the N+1th round is predicted based on the regression method. Then, the N+1 to 2N rounds of data are used to calibrate the predicted values, and the prediction model is optimized. Finally, the AUV polling trajectory would be plan. All the cluster head have storage threshold. According to the data volume prediction of each cluster head, the AUV polling objects of each round can be determined to maximize the amount of data collection and to improve network efficiency. The simulation results show that the algorithm can adapt to the prediction of target events in a variety of distributions. Especially, when the target events obey the linear distribution, compared with AAEERP, RCAP has a great optimization in network energy consumption, throughput, data transmission efficiency. It increases nearly 10% throughput especially. Keywords: IntroductionThe underwater acoustic sensor networks (UASNs) is a kind of new marine measurement and control technology that combines autonomous data acquisition, data fusion and transmission applications in oceanographic data collection, water pollution monitoring, earthquake and tsunami prediction, marine navigation and underwater military surveillance, enemy target tracking and other aspects of the potential application value. So that the military and scientific research departments attach great importance to it. In recent years, China has proposed the strategic requirements of building a strong marine power, and the key technologies of the underwater acoustic sensor network are listed as the key research directions. The related researches mainly focus on the fields of MAC protocol, routing protocol, clock synchronization location, target recognition tracking and so on. However, the main problem affecting the performance of the underwater acoustic network is that the energy of the underwater nodes is limited and easy to disappear. Although the current research scholars have adopted a variety of routing protocols to minimize node energy consumption, such as the choice of the next hop node, the node between the rotation of the cluster head to balance the energy, the communication between the network nodes...

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“…In recent years, there are different types of routing protocols have been there for underwater wireless sensor networks (UWSNs), few of them are vector-based forwarding (VBF) 1 ,a protocol which is based on depth-based routing (DBR) 2 ,an underwater acoustic based a link-state based adaptive feedback routing protocol (LAFR) 3 , A routing protocol which is based on distance-based reliable and energy efficient (DREE) 4 ,A protocol which is focused only on efficient of reliable energy 5 ,protocol based on efficient data gathering 6 ,and layer-by-layer angle-based flooding routing protocol 7 , Energy efficient event driven hybrid routing protocol for densely deployed wireless sensor networks 8 ,Novel cluster solutions 12 and the reliable data encryption routing protocol 9 ,energy efficient and balanced energy consumption cluster based routing protocol 10 , and for reliable data delivery based on sparsity-aware energy efficient clustering protocol 11 . In recent years, tendency toward using the cloud mechanisms 13,14 for data delivery in UWSN is also established.…”

Section: Introductionmentioning

confidence: 99%

Programmed Evaluation and Review Technique Mechanism for Underwater Wireless Sensor Networks

Porkodi¹,

Rahman²

2017

Int. Res. J. Pharm.

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In current era, Underwater Wireless Sensor Networks (UWSNS) has turned into an important role because of the numerous submerged situations and to reduce the effect of electromagnetic field energy for humans. There are numerous protocols has been developed to establish a communication and to find a path. But, finding of progress of the node and realistic accurate time is not comprehended well. Based on the realistic time probability values we can make a suggestion of the progress of node. In this article we concentrate the issues of node of the progress and realistic accurate estimate time by using the PERT (Programmed Evaluation and Review Technique) in UWSNS by optimistic estimated time, most likely estimated time and pessimistic time depends on the probability value we make any one suggestion such as reschedule, close control, going under satisfactory condition and re-planning.

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An Efficient Data-Gathering Routing Protocol for Underwater Wireless Sensor Networks

Cited by 63 publications

References 19 publications

A Recent Study on Routing Protocols in UWSNs

A Recent Study on Routing Protocols in UWSNs

Untitled

Programmed Evaluation and Review Technique Mechanism for Underwater Wireless Sensor Networks

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