End-to-End Delay and Energy Efficient Routing Protocol for Underwater Wireless Sensor Networks

Ali, Tariq; Jung, Low Tang; Faye, Ibrahima

doi:10.1007/s11277-014-1859-z

Cited by 59 publications

(31 citation statements)

References 22 publications

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“…Clearly, DCR is a geographical routing protocol, and it requires geographical location information in order to control the topology structure, which is so far an unsolved problem. In [13], Tairq proposed the L2-ABF protocol. In L2-ABF, the underwater 3D-space is divided into layers.…”

Section: Related Workmentioning

confidence: 99%

A Routing Protocol Based on Received Signal Strength for Underwater Wireless Sensor Networks (UWSNs)

Ke-jun

et al. 2017

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Abstract:Underwater wireless sensor networks (UWSNs) are featured by long propagation delay, limited energy, narrow bandwidth, high BER (Bit Error Rate) and variable topology structure. These features make it very difficult to design a short delay and high energy-efficiency routing protocol for UWSNs. In this paper, a routing protocol independent of location information is proposed based on received signal strength (RSS), which is called RRSS. In RRSS, a sensor node firstly establishes a vector from the node to a sink node; the length of the vector indicates the RSS of the beacon signal (RSSB) from the sink node. A node selects the next-hop along the vector according to RSSB and the RSS of a hello packet (RSSH). The node nearer to the vector has higher priority to be a candidate next-hop. To avoid data packets being delivered to the neighbor nodes in a void area, a void-avoiding algorithm is introduced. In addition, residual energy is considered when selecting the next-hop. Meanwhile, we establish mathematic models to analyze the robustness and energy efficiency of RRSS. Lastly, we conduct extensive simulations, and the simulation results show RRSS can save energy consumption and decrease end-to-end delay.

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Section: Related Workmentioning

confidence: 99%

A Routing Protocol Based on Received Signal Strength for Underwater Wireless Sensor Networks (UWSNs)

Ke-jun

et al. 2017

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“…The multisink structure is studied in [18][19][20][21]26]. The proposal [19] proposes a virtual sink architecture, which allows sensor node to transmit data to one or more sinks to increase reliability and is considered retransmitting a packet simultaneously instead of sequentially.…”

Section: Related Workmentioning

confidence: 99%

Minimum Delay Multipath Routing Based on TDMA for Underwater Acoustic Sensor Network

Bai

Wang

Shen

et al. 2016

International Journal of Distributed Sensor Networks

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Multipath routing is an alternative routing technique, which uses redundant paths to deliver data from source to destination. Compared to single path routing protocols, it can address reliability, delay, and energy consumption issues. Thus, multipath routing is a potential technique to overcome the long propagation delay and adverse link condition in underwater environment. However, there are still some problems in multipath routing. For example, the multiple paths may interfere with each other and arouse large end-to-end delay difference amongst multiple paths. This paper proposes a novel multipath routing structure and a conflict-free algorithm based on TDMA scheme. The forwarding nodes are selected based on the propagation delay and location information. This special multiple routing structure not only can ensure parallel multiple transmission without collision, but also can get a small end-to-end delay difference amongst multiple paths. Simulation results show that the multipath routing scheme proposed in this paper outperforms the traditional strategy.

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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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End-to-End Delay and Energy Efficient Routing Protocol for Underwater Wireless Sensor Networks

Cited by 59 publications

References 22 publications

A Routing Protocol Based on Received Signal Strength for Underwater Wireless Sensor Networks (UWSNs)

A Routing Protocol Based on Received Signal Strength for Underwater Wireless Sensor Networks (UWSNs)

Minimum Delay Multipath Routing Based on TDMA for Underwater Acoustic Sensor Network

Programmed Evaluation and Review Technique Mechanism for Underwater Wireless Sensor Networks

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