Self-deployment of mobile underwater acoustic sensor networks for maximized coverage and guaranteed connectivity

Şenel, Fatih Ahmet; Akkaya, Kemal; Erol‐Kantarci, Melike; Yılmaz, Tuğba

doi:10.1016/j.adhoc.2014.09.013

Cited by 62 publications

(59 citation statements)

References 25 publications

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“…According to the mobility of sensors, node distributed deployment techniques are falling into two main categories which are movement-assisted deployment [7] and sensor-self deployment [11]. In the former, the free mobility of special kind of sensors (Robots) is used to assist other sensor nodes in fulfilling the network requirement [12], [13], [14].…”

Section: Related Workmentioning

confidence: 99%

Deployment Protocol for Underwater Wireless Sensors Network based on Virtual Force

Almutairi¹,

Mahfoudh²

2017

ijacsa

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Abstract-Recently, Underwater Sensor Networks (UWSNs) have attracted researchers' attention due to the challenges and the peculiar characteristics of the underwater environment. The initial random deployment of UWSN where sensors are scattered over the area via planes or ships is inefficient, and it doesn't achieve full coverage nor maintain network connectivity. Moreover, energy efficiency in underwater networks is a crucial issue since nodes utilize battery power as a source of energy and it is difficult and sometimes impossible to change or replenish these batteries. Our contribution in this research is to improve the performance of UWSNs by designing UW-DVFA, an underwater 3-D self-distributed deployment algorithm based on virtual forces. The main target for this work is to stretch the randomly deployed network in the 3-D area in a way that guarantees full area coverage and network connectivity.

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Section: Related Workmentioning

confidence: 99%

Deployment Protocol for Underwater Wireless Sensors Network based on Virtual Force

Almutairi¹,

Mahfoudh²

2017

ijacsa

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“…On the other side, if all communication links of the initial network attempted to keep, there will be too many coverage overlaps. Hence, it is very crucial to decide which links are to be preserved while determining the depths of nodes for maximizing the coverage [11].…”

Section: Underwater Wireless Sensor Network With Coverage Problemmentioning

confidence: 99%

“…Otherwise, the network will be disconnected but the number of connected components will give us further idea about the number of disconnected nodes in the network. The number of connected components in final network topology shows amount of connectivity of that network [11].…”

Section: Underwater Sensor Network With Connectivity Problemmentioning

confidence: 99%

Review on research challenges and strategies in underwater sensor networks

2017

IJLTET

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“…Typically, topology control algorithms can be categorized by preserving 1-connectivity and kconnectivity, respectively. For preserving 1-connectivity, current works mainly focused on prolonging network lifetime and increasing network capacity, without considering topology fault-tolerance [2][3][4][5][6][7][8][9][10][11]25]. To achieve fault-tolerance, algorithms that construct k-connected topologies have been proposed [12][13][14][15][16][17][18][19][20][21][22][23][24].…”

Section: Related Workmentioning

confidence: 99%

“…The connectivity-preserving topology control aims to maintain network connectivity via smaller nodal transmit powers. There also exist algorithms concerning the trade-off between energy conservation and network connectivity [2][3][4][5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

FICTC: fault-tolerance-and-interference-aware topology control for wireless multi-hop networks

Bao

Deng

2016

J Wireless Com Network

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K-connectivity-based topology control can improve fault-tolerant performance of multi-hop wireless networks. Existing algorithms mainly focused on preserving the same k-connectivity between any two nodes. However, in practical network deployments, the algorithms enforcing k-connectivity degrade network performance, when the topology requires heterogeneous nodal fault-tolerant requirements. In this paper, we aim to develop interferenceaware topology control based on the different k ij connectivities between any two nodes and propose a fault-toleranceand-interference-aware topology control (FICTC) algorithm. It can be proved that FICTC can meet different fault-tolerant requirements between any two nodes, and is the optimum solution for min-max network interference. Simulation results show that FICTC not only leads to weaker interference, but also achieves higher throughput and lower end-to-end (E2E) delay than existing fault-tolerant topology control schemes.

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Self-deployment of mobile underwater acoustic sensor networks for maximized coverage and guaranteed connectivity

Cited by 62 publications

References 25 publications

Deployment Protocol for Underwater Wireless Sensors Network based on Virtual Force

Deployment Protocol for Underwater Wireless Sensors Network based on Virtual Force

Review on research challenges and strategies in underwater sensor networks

FICTC: fault-tolerance-and-interference-aware topology control for wireless multi-hop networks

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