AEDG: AUV-aided Efficient Data Gathering Routing Protocol for Underwater Wireless Sensor Networks

Ilyas, Naveed; Alghamdi, Turki Ali; Farooq, Muhammad; Mehboob, Bilal; Sadiq, Abdul Hannan; Qasim, Umar; Khan, Zahoor Ali; Javaid, Nadeem

doi:10.1016/j.procs.2015.05.038

Cited by 58 publications

(33 citation statements)

References 12 publications

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“…1: n = All N odes 2: cx = Center node X − axis 3: cy = Center node Y − axis 4: for i = 1 to n do 5: x = ith node X − axis else if x ≥ cx and y ≤ cy then 10: Next forwarder (x, y + +) , (x − −, y), (x − −, y + +) 11: else if x ≤ cx and y ≥ cy then 12: Next forwarder (x, y − −) , (x + +, y), (x + +, y − −) 13: else if x ≥ cx and y ≥ cy then 14: Next forwarder (x, cy − −) , (x − −, cy), (x − −, y − −) 15: end if 16: end for…”

Section: Input: All Nodes Output: Determine Next Forwarder Directionmentioning

confidence: 99%

“…For data collection, instead of visiting each node or cluster, the AUV visits only the selected nodes, called gateway nodes (GNs) or path nodes, to reduce the transmission power of the sensor nodes. The selection of GNs depend on the received signal strength indicator (RSSI) value of the hello packet (HP), the node position in the AUV region, and residual energy [16]. Furthermore, an association is made of the member nodes (MNs) with the GNs by using the SPT algorithm for flooding the data packets towards the GNs.…”

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confidence: 99%

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Atomic-shaped efficient delay and data gathering routing protocol for underwater wireless sensor networks

Farooq¹,

Ali²,

Shaf³

et al. 2019

Turk J Elec Eng & Comp Sci

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High end-to-end delay is a major challenge in autonomous underwater vehicle (AUV)-aided routing protocols for underwater monitoring applications. In this paper, a new routing protocol called atomic-shaped efficient delay and data gathering (ASEDG) has been introduced for underwater wireless sensor networks. The ASEDG is divided into two phases; in the first phase, the atomic-shaped trajectory model with horizontal and vertical ellipticals was designed for the movement of the AUV. In the second phase, two types of delay models were considered to make our protocol more delay efficient: member nodes (MNs) to MNs and MNs to gateway nodes (GNs). The MNs-to-MNs delay in the network specifies how long is required for the selection of the next possible forwarders by eliminating the chances of backtracking and a higher number of association links. The MNs-to-GNs delay is considered to choose the path from a multipath environment that takes a minimum amount of time for sending the packet from its generation to destination node. For efficient data gathering, this new trajectory model creates the maximum possible GNs for the association of the MNs. Furthermore, our protocol, ASEDG, has been evaluated by using the aquasim network simulator (NS-2), and its results were compared with the already existing protocol, an efficient data gathering (AEDG) routing protocol. The simulation results show that the ASEDG performed better than the AEDG in terms of end-to-end delay and throughput.

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Section: Input: All Nodes Output: Determine Next Forwarder Directionmentioning

confidence: 99%

mentioning

confidence: 99%

Atomic-shaped efficient delay and data gathering routing protocol for underwater wireless sensor networks

Farooq¹,

Ali²,

Shaf³

et al. 2019

Turk J Elec Eng & Comp Sci

View full text Add to dashboard Cite

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“…Sink mobility pattern is given in DEADs [22]. AEDG is proposed in [23]. In AEDG, AUV is used to collect data.…”

Section: Relative Workmentioning

confidence: 99%

RSHSC-Routing Algorithm Based on Simplified Harmony Search and Coding for UWSNs

Peng

2018

Journal of Sensors

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With the development of wireless networks and increasingly interest of people in underwater resources and environment, UWSNs are being paid more and more attention. Because of the characteristics of underwater channel and acoustic signal, the protocols used in the terrestrial networks cannot be directly used in UWSNs. In this paper, a reliable and energy-efficient routing protocol based on SHS and coding, called RSHSC, is proposed. Firstly, regular nodes are assigned to cluster heads according to simplified harmony search algorithm. Secondly, partial network encoding is introduced and the next two-hop information is considered when data packets are transmitted to sink nodes from the source node. Only the best next-hop forwards data packets. All data packets from neighbor nodes are used for decoding. Thirdly, two schemes of updating routing are designed and compared. Lastly, extensive simulations prove RSHSC is effective in improving reliability and decreasing energy consumption.

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“…The protocol uses greedy opportunistic forwarding to route packets and to move void nodes to new depths in order to adjust the topology. Ilyas et al [16] proposed an AUV-aided efficient data-gathering (AEDG) routing protocol for reliable data delivery in underwater sensor networks. AEDG employs an AUV for data collection from gateways; to associate sensor nodes with gateways, it uses a shortest path tree (SPT) algorithm.…”

Section: Related Workmentioning

confidence: 99%

Cognitive Routing in Software-Defined Underwater Acoustic Networks

Ghafoor

Koo

2017

Applied Sciences

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Abstract:There are two different types of primary users (natural acoustic and artificial acoustic), and there is a long propagation delay for acoustic links in underwater cognitive acoustic networks (UCANs). Thus, the selection of a stable route is one of the key design factors for improving overall network stability, thereby reducing end-to-end delay. Software-defined networking (SDN) is a novel approach that improves network intelligence. To this end, we propose a novel SDN-based routing protocol for UCANs in order to find a stable route between source and destination. A main controller is placed in a surface buoy that is responsible for the global view of the network, whereas local controllers are placed in different autonomous underwater vehicles (AUVs) that are responsible for a localized view of the network. The AUVs have fixed trajectories, and sensor nodes within transmission range of the AUVs serve as gateways to relay the gathered information to the controllers. This is an SDN-based underwater communications scheme whereby two nodes can only communicate when they have a consensus about a common idle channel. To evaluate our proposed scheme, we perform extensive simulations and improve network performance in terms of end-to-end delay, delivery ratio, and overhead.

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AEDG: AUV-aided Efficient Data Gathering Routing Protocol for Underwater Wireless Sensor Networks

Cited by 58 publications

References 12 publications

Atomic-shaped efficient delay and data gathering routing protocol for underwater wireless sensor networks

Atomic-shaped efficient delay and data gathering routing protocol for underwater wireless sensor networks

RSHSC-Routing Algorithm Based on Simplified Harmony Search and Coding for UWSNs

Cognitive Routing in Software-Defined Underwater Acoustic Networks

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