Probability Model Based Energy Efficient and Reliable Topology Control Algorithm

Li, Ning; Martínez-Ortega, José-Fernán; López, Lourdes; Chaus, Juan M. Meneses

doi:10.3390/en9100841

Cited by 2 publications

(2 citation statements)

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“…The main idea of this topology control algorithm is the novel Smart Boundary Yao Gabriel Graph (SBYaoGG) and the appropriate optimizations to ensure that all links in network are symmetric and energy efficient. The more recent researches on topology control can be found in [ 14 , 15 , 16 , 17 , 18 ]. Moreover, detailed introductions and comparisons between different topology control algorithms can be found in reviews, such as [ 19 , 20 , 21 ].…”

Section: Related Workmentioning

confidence: 99%

A Probabilistic and Highly Efficient Topology Control Algorithm for Underwater Cooperating AUV Networks

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The aim of the Smart and Networking Underwater Robots in Cooperation Meshes (SWARMs) project is to make autonomous underwater vehicles (AUVs), remote operated vehicles (ROVs) and unmanned surface vehicles (USVs) more accessible and useful. To achieve cooperation and communication between different AUVs, these must be able to exchange messages, so an efficient and reliable communication network is necessary for SWARMs. In order to provide an efficient and reliable communication network for mission execution, one of the important and necessary issues is the topology control of the network of AUVs that are cooperating underwater. However, due to the specific properties of an underwater AUV cooperation network, such as the high mobility of AUVs, large transmission delays, low bandwidth, etc., the traditional topology control algorithms primarily designed for terrestrial wireless sensor networks cannot be used directly in the underwater environment. Moreover, these algorithms, in which the nodes adjust their transmission power once the current transmission power does not equal an optimal one, are costly in an underwater cooperating AUV network. Considering these facts, in this paper, we propose a Probabilistic Topology Control (PTC) algorithm for an underwater cooperating AUV network. In PTC, when the transmission power of an AUV is not equal to the optimal transmission power, then whether the transmission power needs to be adjusted or not will be determined based on the AUV’s parameters. Each AUV determines their own transmission power adjustment probability based on the parameter deviations. The larger the deviation, the higher the transmission power adjustment probability is, and vice versa. For evaluating the performance of PTC, we combine the PTC algorithm with the Fuzzy logic Topology Control (FTC) algorithm and compare the performance of these two algorithms. The simulation results have demonstrated that the PTC is efficient at reducing the transmission power adjustment ratio while improving the network performance.

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Section: Related Workmentioning

confidence: 99%

A Probabilistic and Highly Efficient Topology Control Algorithm for Underwater Cooperating AUV Networks

Çürüklü

Bastos

et al. 2017

Sensors

Self Cite

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“…The main idea of this topology control algorithm is the novel Smart Boundary Yao Gabriel Graph (SBYaoGG) and the appropriate optimizations to ensure that all links in network are symmetric and energy efficient. The more recent researches on topology control can be found in [69][70][71][72][73]. Moreover, detailed introductions and comparisons between different topology control algorithms can be found in reviews, such as [74][75][76].…”

Section: Overview Of the Topology Controlmentioning

confidence: 99%

Contributions to Communication and Networking for the Internet of Things Environments

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At this moment, I want to thank many people, without whose support I cannot finish my thesis. Apart from the knowledge and the valuable experience that I have got in the past four years, it is my pleasure to work with the lovely people in the "Next Generation Networks and Services" research group at UPM. First and Foremost, I want to thank Prof. Jose-Fernan Martinez-Ortega, who had a significant impact on my research and study in UPM. He is not only a supervisor but also a good friend for me. In the research, Prof. Jose-Fernan gives me suggestion on both the research area and the research area; he inspires me when writing scientific papers, and helps me to improve the quality of the paper and publish the paper in most famous journals. Most importantly, Prof.Jose-Fernan provides me the perfect balance of guidance and freedom during the past years. I would also like to thank him for spending countless time to read my thesis, and provide valuable comments and criticisms on my thesis.It is impossible to acknowledge all people. However, I wish to express my gratitude to all the colleagues in the group. Special thanks are due to Pedro Castillejo, Jesus Rodriguez and Nestor Lucas Martinez, who give me a lot of help on living a life time in Spain. Also, I would

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Probability Model Based Energy Efficient and Reliable Topology Control Algorithm

Cited by 2 publications

References 24 publications

A Probabilistic and Highly Efficient Topology Control Algorithm for Underwater Cooperating AUV Networks

A Probabilistic and Highly Efficient Topology Control Algorithm for Underwater Cooperating AUV Networks

Contributions to Communication and Networking for the Internet of Things Environments

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